{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "问题描述\n",
    "请在Capital Bikeshare （美国Washington, D.C.的一个共享单车公司）提供的自行车数据上进行回归分析。训练数据为2011年的数据，要求预测2012年每天的单车共享数量。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.导入工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "UsageError: unrecognized arguments: 图形出现在Notebook里而不是新窗口\n"
     ]
    }
   ],
   "source": [
    "import numpy as np# 矩阵操作\n",
    "import pandas as pd# SQL数据处理\n",
    "\n",
    "#from sklearn import datasets, linear_model\n",
    "from sklearn.linear_model import LassoCV #lasso 回归\n",
    "from sklearn import metrics\n",
    "from sklearn import preprocessing\n",
    "from sklearn.linear_model import  RidgeCV #岭回归\n",
    "from sklearn.metrics import r2_score  #评价回归预测模型的性能\n",
    "import matplotlib.pyplot as plt# 画图可视化\n",
    "import seaborn as sns# 数据可视化工具包\n",
    "\n",
    "%matplotlib inline# 图形出现在Notebook里而不是新窗口"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "2.导入数据及数据清洗"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "方法1：绝对路径调用\n",
    "set path to where the data of bike-sharing-set\n",
    "dpath = 'D:/jupyter/'\n",
    "data = pd.read_csv(dpath + \"day.csv\")\n",
    "'''\n",
    "#方法2：相对路径调用，要求文件必须处于相对路径在的文件夹\n",
    "dpath='./data/'\n",
    "data=pd.read_csv(dpath+\"day.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(731, 16)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# 删去不用的特征及作业中不要求预测的预测值\n",
    "#方法1:\n",
    "#data = data.drop(columns=['instant','casual','registered','dteday'])\n",
    "#方法2：\n",
    "data = data.drop(['instant','casual','registered','dteday'],axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season        0\n",
       "yr            0\n",
       "mnth          0\n",
       "holiday       0\n",
       "weekday       0\n",
       "workingday    0\n",
       "weathersit    0\n",
       "temp          0\n",
       "atemp         0\n",
       "hum           0\n",
       "windspeed     0\n",
       "cnt           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 判断数据有无空值（不能和上一行cell中删除特征和预测值的代码放在一行中）\n",
    "data.isnull().sum()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.事先探索用数据划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "#在事先数据探索中，只分年份，先不把特征和预测值分开\n",
    "trainData = data[data[\"yr\"]==0]\n",
    "testData  = data[data[\"yr\"]==1]\n",
    "\n",
    "trainData = trainData.drop(columns=['yr'])\n",
    "testData  = testData.drop(columns=['yr'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4.数据探索\n",
    "首先分析相关性，这样可以找到强关联的特征关系。通过 PCA 或者删除其中之一进行特征处理。 然后再进行单特征值分析，这样可以避免处理完了噪声数据以后如果关联性强又进行特征值删除的操作。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4.1数值属性特征变量探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#1.风速\n",
    "#风速直方图\n",
    "fig=plt.figure(figsize=(15,5)) #figsize是图的大小\n",
    "plt.subplot(121)#subplot（121）其实就是subplot [1,2,1], 1代表行，2代表列，所以一共有2个图，后面的1代表此时绘制第一个图\n",
    "sns.distplot(trainData.windspeed.values, bins=30, kde=True)#1。直方图。2.柱子数量bins也设置为30，kde=True表示是否显示拟合曲线\n",
    "plt.title(\"Histogram of Windspeed\");\n",
    "plt.xlabel('Value of Windspeed', fontsize=12)#fontsize指字体大小\n",
    "plt.ylabel('Probability', fontsize=12)\n",
    "\n",
    "#风速散点图\n",
    "plt.subplot(122)\n",
    "plt.scatter(range(trainData.shape[0]),trainData[\"windspeed\"].values,color='orange')#(range(X_train.shape[0])没查到意思，以后都带着就行\n",
    "plt.title(\"Distribution of Windspeed\");\n",
    "plt.xlabel('Count of Windspeeds', fontsize=12)\n",
    "plt.ylabel('Value of Windspeed', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "#在0.4以上有个别噪声，应该去掉。\n",
    "trainData= trainData[trainData['windspeed']<=0.5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#2.湿度\n",
    "#湿度直方图\n",
    "fig=plt.figure(figsize=(17,5))\n",
    "plt.subplot(121)\n",
    "sns.distplot(trainData.hum.values, bins=30, kde=True)\n",
    "plt.title(\" Histogram of humidity\");\n",
    "plt.xlabel('hum value', fontsize=12)\n",
    "plt.ylabel('Probability', fontsize=12)\n",
    "#湿度散点图\n",
    "plt.subplot(122)\n",
    "plt.scatter(range(trainData.shape[0]), trainData[\"hum\"].values,color='orange')\n",
    "plt.title(\"Distribution of humidity\");\n",
    "plt.xlabel('Count of Hum', fontsize=12)\n",
    "plt.ylabel('Value of Hum', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "#从上图可以看出 0.2一下存在个别噪声点，应该去除掉。\n",
    "trainData= trainData[trainData['hum']>0.2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.温度\n",
    "#温度直方图\n",
    "fig=plt.figure(figsize=(17,5))\n",
    "plt.subplot(121)\n",
    "sns.distplot(trainData.temp.values, bins=30, kde=True)\n",
    "plt.title(\" Histogram of temperature\");\n",
    "plt.xlabel('temp value', fontsize=12)\n",
    "plt.ylabel('Probability', fontsize=12)\n",
    "#温度散点图\n",
    "plt.subplot(122)\n",
    "plt.scatter(range(trainData.shape[0]), trainData[\"temp\"].values,color='orange')\n",
    "plt.title(\"Distribution of temp\");\n",
    "plt.xlabel('Count of Temperature', fontsize=12)\n",
    "plt.ylabel('Value of Temperature', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4.2 类别属性特征变量探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#1.季节\n",
    "fig=plt.figure()\n",
    "sns.countplot(trainData.season)#countplot 计数图，应用到分类变量的直方图\n",
    "plt.xlabel('1:spring, 2:summer, 3:fall, 4:winter')\n",
    "plt.title('count of season in dataset')\n",
    "fig=plt.figure()\n",
    "sns.pairplot(trainData,x_vars='season',y_vars='cnt',size=4) #size这里指图的大小\n",
    "plt.xlabel('1:spring, 2:summer, 3:fall, 4:winter')\n",
    "plt.ylabel('count of total rental bikes')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用单车数在四个季节都比较多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#2.holiday 假期\n",
    "fig=plt.figure()\n",
    "sns.countplot(trainData.holiday)\n",
    "plt.xlabel('1:holiday, 2:other')\n",
    "plt.title('count of holiday in dataset')\n",
    "fig=plt.figure()\n",
    "sns.pairplot(trainData,x_vars='holiday',y_vars='cnt',size=4)#这里size是图的大小\n",
    "plt.xlabel('1:holiday, 2:other')\n",
    "plt.ylabel('total rental bikes')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "假期数量很少的，但是在假期的使用车辆次数比较多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3.（3） weathersit 晴雨天\n",
    "fig=plt.figure()\n",
    "sns.countplot(trainData.weathersit)\n",
    "plt.xlabel('1:Clear 2:Mist 3:Scouther 4:HeavySnowOrRain')\n",
    "plt.ylabel('count of weathersit in dataset')\n",
    "fig=plt.figure()\n",
    "sns.pairplot(trainData, x_vars='weathersit',y_vars='cnt',size=4)\n",
    "plt.xlabel('1:Clear 2:Mist 3:Scouther 4:HeavySnowOrRain')\n",
    "plt.ylabel('total rental bikes')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "没有雨雪天，晴天、阴天占大多数样本，没有大雪大雨天。模型训练后可能对这种情况预测有偏差。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#4. workingday是否工作日\n",
    "fig=plt.figure()\n",
    "sns.countplot(trainData.workingday)\n",
    "fig=plt.figure()\n",
    "sns.pairplot(trainData, x_vars='workingday',y_vars='cnt',size=4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "非工作日，单车每日数量最大值比工作日的最大值高，每日6000辆次数。非工作日的天数比工作日的天数多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#5 weekday星期中的哪天，取值0—6\n",
    "fig=plt.figure()\n",
    "sns.countplot(trainData.weekday)\n",
    "sns.pairplot(trainData, x_vars='weekday',y_vars='cnt',size=4)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4.3 相关性分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ckmLvoSUk5xG7djt5X0u+fyVf7WoU7eVKpT1LKDl2AIU7NqfkqH7ZFrv4byzaONc07SJQh+RG+nSgCxCoaVptw6OmpmmtDMWXAkMNveHfAHkNx/iE5EZ8GeCUUqo46TtyU0vdQtSTwVzvmqYt1DTNRdM0l4F9PvhPOb6MajgV50bUPUJj7pOQqGfHmes0rmp6441DkfwcuxIBwNXIOOIT9RQtkIfQmPvGG0DDYu9z/c5dHIsUyPYcAHz9TuHsXIHy5ctgY2ND9+4dcPfYaVLG3WMnvXsn3yHfpUs79vocMq7v3r0Dtra2lC9fBmfnChz3PflS5DB+wveUr+iCc5W36dlrCHv3HqJvv2EAVKpU3nhc13YtuWCGmw+zO6eP+n9Aq5ZN6Nnr02y5+nHC/zSVKpWjbLnS2NjY0LlrO7Z5mc7ss91rNx/07ARAh05t2L/vKABtW31ArRpNqFWjCQt+XcqcWQv44/cVTPl6Fq+92pBaNZowoN9wDuw7wqCBI82eS0YiA65iV96eQmVKYmWjw7n921zzNh3zalc+ZRhPuea1iQuOSNmoFJXavZUjxpuDIZ8KqfLp8DbX0+RTuIJpPnevJedzLywKpwbJ/UjW+fJQ6k1nYq+EYWlXAi5hX8GBkmVeQWdjTX23hvh7+5qUKVejAgOmD2b2gGncjUq54b+YfXFs8tgCUKBwAaq4VCP8Smi2xp+RjHMyvQpWvkYFBk4fwqxn5PSqS1XCc8B5enzmIrblHbEpXQpsrCncrhH3dx81KaMrmTLEqmDzt4i/knz/V/iomVxp0o8rzfpz+/tF3N28m9uzlmZn+NlDSzLvw0Is+iNESilHIFrTtJVKqfvAx0BJpVR9TdOOKKVsgCqapgUChYBww7qeQKjhGJU0TTsGHFNKuZHcSN9vKLNHKVUFKAtcAN7M7hyfx+jJ3+N78jSxsXdp3rEXQwb0potbzpnKKS1rnRVjXV0YvGwPSUkaHd6shHOpIvy6O4DqjsVpUq00X7Spw5QtR1l1+DwoxTed66OU4uT1SBbvD8JaZ4WVgnGudSlaIO+zn9QM9Ho9nw+fgJfnX+isrFi6bA1BQRf5evIo/PwD8PDwZvGS1SxbOo/zQQeJiYnlw15DAAgKusj69e6cCdhLol7PsM/HG8cyr1wxn8aN6lOiRDGCr/rxzZRZLFm6OlflkBGlFEsWzaVQ4YIopTh9OohPh47L1TkB/Dr/e65fD+Hgga0AbN7sxXdT52Z5XqnzGzPyGzZsXoJOp2PVinWcP3eJcRM+59SJs2zz2s2KZWv57c/Z+AfsJiYmlgH9hpstnqym6ZM4MHEZbivHoHRWnF+zj5iLodQd2YXbp68R7H2Cmv1aUbphDZIS9fwT94DdI3437u/4VlXuh0dz98ZtC2aRQtMncXDiMtquGoOysuKCIR+XUV24HXCN694neK1fK5xS5bPXkE/gUm+azPmYbru/RynFhbX7iT5n2eljAZL0SSyd9Adjl0/GSmeFz9rdhF66SdcvPuDq6cuc2OVLz6/6kjd/Xob9OhqAqLDbzB44HUfn0vSa0A9N01BK4blwMzcvWHZGHUjJadzyyVjpdPis3UWIIadrpy/jv8uXD7/qR978efn81+TZj6LCbjNr4DScnEvTa0J/Y04eC7dw88J1C2cE6JO4NWUBZRZ9Bzor4tbvJP7yDUoM68Xjs5e4v+cYxfp0oGCzt9D0evSx9wgfO8fSUYssoCwxTtb45Eq1BmYCSUACMBhIBOYBdiR/eZiradofSqnBwBiSh6icAQppmtZPKbURqExyb/luYDiQB/iN5F75ROALTdP2KqX6AS6apg01PL8HMEvTNJ/MYky4c9Wyd1eZQeKelZYOIUsV6vX7swsJkcUK2eZ7dqFcZmrRty0dQpbTvXQ1OOzTWf6m0qyW0b1MudnkPPGWDsEsql70yhlT2Rj8c36fWV84eao2tki+Fu051zRtB7Ajg02NMii7AFiQwfr0vzQAj4F+GZRdSvLwmCfLrs8drBBCCCGEEGZm0ca5EEIIIYQQ/4oFx4Wbk6VnaxFCCCGEEEIYSM+5EEIIIYTIfSw4F7k5Sc+5EEIIIYQQOYT0nAshhBBCiNxHxpwLIYQQQgghzEl6zoUQQgghRO7zko45l8a5EEIIIYTIdTRNb+kQzEKGtQghhBBCCJFDSM+5EEIIIYTIfeSGUCGEEEIIIYQ5Sc+5EEIIIYTIfV7SG0Kl51wIIYQQQogcQnrOhRBCCCFE7iNjzoUQQgghhBDmJD3nQgghhBAi90mSec6FEEIIIYQQZiQ95/8PWTfrZekQstSjsF4ULdvc0mFkqcSXsDdA/5Ll9DDxH0uHkOUu6RItHUKWs0FZOoQsp2mapUPIcuolO0+X7tpZOgSzqGrpANJ6ScecS+P8GRL3rLR0CFnqZWuYCyGEEEK8TKRxLoQQQgghch+Z51wIIYQQQghhTtJzLoQQQgghcp+XdMy59JwLIYQQQgiRQ0jPuRBCCCGEyH1kzLkQQgghhBDCnKTnXAghhBBC5D7Scy6EEEIIIYQwJ+k5F0IIIYQQuY6mvVy/PP2ENM6FEEIIIUTuI8NahBBCCCGEEOYkPedCCCGEECL3kR8hEkIIIYQQQpiT9JwLIYQQQojcR8acCyGEEEIIIcxJes6FEEIIIUTuI2POxb916FIYHeZuxe3HLSzeH5hue3jsAwYu3kWP+V50+8WTAxdDATgTcofu872SH794sifoZnaH/q9MmDaHRu3ep2OvTywdyjO1aNmIE6d2E3BmL1+MTB+vra0ty5b/TMCZvezdt4myZZ0AqONSi8NHPTl81JMjR71wa98KACcnB7y2/YX/CW98/XYwZEi/7EzHRMuWjTl9ei+BgfsZNWpIuu22trasWDGfwMD97N+/hXLlSgPQvPm7HD7siZ/fTg4f9qRJkwbZHTqtWjXh7Nn9nAs6yOjRn6bbbmtry6pVCzgXdJBDB92NsQOMGTOUc0EHOXt2Py1bNgagSpVK+PnuND6i7pxn2GcDAahVqwYHD7jj57uTo0e8qOtS2/z5tWzCmdM+BAUeyPTcrFzxK0GBBziwf6sxv2LFirBjxxqi7pxn7o/fmuyzc+dazpz24fix7Rw/tp2SJYubPY/MVG1ci3G75/CVz1yaD26fbnvjAW350nsWo7fNYPCqCRR1KmHc5jr2Q8bsmMmYHTOp7Vo/O8N+blUa12L07tmM8fmRJhnk93bPFozYPoPhXtMZvG4yrzg7WSDKp6vV+A1m75nPj/sW0H5w53Tb2w5sz8xdPzNj+1zG/zWFEk4lASjhVJKpHrOZ7vUjM73n0aJn6+wOPVOvN36DWXt+Yc6+X3HLJKcfds3j++0/8tVf36TJaRbTvObwg/dPNM9BOZVsWoumB2fT7MiPOA9N/1p7wsG1Hm4Rf2NXq6LJ+nxOxXnvyhIqDm5n7lBFFnqpe86VUkWADzVN+9Ww3AQYpWmaa3bFoE9KYrq7L7/1a0apwvnp+dt2GlctTaVX7Ixl/th3llavlaV7vSpciYxj6Iq9bBvphPMrRfjrkzZY66y4fe8R3ed70uhVJ6x1Ofs7Vce2LfmwS3u++naWpUN5KisrK+b8OIX2rr0JDY1g/4EteHnu4vz5y8Yyfft1JzY2jlo1m9K1qyvffjeWvn0+IyjwAu++0x69Xk8p+5IcPeqFl+duEvWJjBs3lYBTgRQsWIADh9zZs+egyTGzK7effvqOdu16EhISzqFD7nh4eHP+/CVjmX79ehAbG0eNGo3o1s2N774bR+/en3LnTjRdunxEePgtqlevgrv7SipVqpetsc/7aSrvtf2AkJBwjh7xwsNjJ+fOpcT+Uf8PiI2Jo1r1hnTv3p5p08bTs+dgqlWrTI/uHahVuxmOjqXYvm011Wu8y8WLV3Cp28p4/OvB/mzesg2A6dPG8+13c9ixYy9t2jRj+vTxtGjZzaz5/fTTd7Rt9yEhIeEcPuSR7tz07/c+sbGxVK/xLt26tWfqd1/Rq/cQHj/+h2++mUWN6q9So8ar6Y7dt98wTpw4bbbYn4eyUnSZ8hG/9ZpKbEQUI7ZO46y3P7cuhxrLhAYFM8ftKxIex9OgV0vcxvVk+dCfqN70DUrXKM+stl9ibWvD0DWTOOdzin/uP7JgRqaUlaLTlP780WsacRFRfLZ1KkHe/kSmyu/klkMcXbULgOot6uA2sTeL+n5vqZDTUVZW9P92ENN6TiYqIoqpW2fiv+s4oZdCjGWCA68y3nUk8Y/jadGrDR+O68u8obOIiYxhcucvSYxPJE/+vMzcOQ9/7+PERMZYMKMnOX3M9J5fExURxXdbf+BEBjlNcB1lyKk1H4zrw89DZxtyGmvM6YedP+HvfZxYC+eElaLm9P4c7T6NR+FRvLt9KhE7/bl/MdSkmK5AXioMaEOM/6V0h6jxTW8i95zKroizn4w5z5WKAOm7pbLR2ZAoyhQvROlihbCx1tG6Zjl8zpn2gCvgweMEAO4/jqdkoXwA5LO1NjbE4xP1KFS2xv5vudSuiV3hQpYO45lcXGpx9cp1goNvkpCQwPr17rRzbWlSpl27lqxauQGATZu2GXuRHz16jF6f/MtkefPkQdOSy9+KuE3AqeSrI/fvP+DChcs4ONpnU0Yp6tatzZUrwVy7doOEhATWrXPHza2VSRk3t1asXLkegI0bvWja9B0AAgICCQ+/BUBQ0EXy5s2Dra1ttsVer+4bJrGvWbsFNzfTniw3t1asWLEOgA0bPGnWtKFhfWvWrN1CfHw8wcE3uXIlmHp13zDZt1mzhly9ep0bN5I/4DRNo7Dh9WpnV4gwQ+7mkvbcrF23NcNzs8J4bjyN5+bhw0ccPuzL43/+MWuM/0XZ2s7cuR5B1M1I9Al6Trof5rVWLiZlLh8JIuFxPADXT16iiH0xAEpVduLKsXMk6ZOIf/QPoeduUK1xrWzP4WnKGPKLNuQX4H6EGmnyS/1lwjZ/HrQnFUQO4Vy7MhHB4UTevIU+IZEj7gdxafmWSZmgI2eJN5yjyycvUMwh+UqMPiGRxPhEAGxsbVBWOeNzybl2ZW6lyalOS9NOhdQ5XTp5McfnVPQNZx5ci+DhjUi0BD1hm49g39olXbmqX3bn8q/u6P9JMFlv38aFBzciuXchJN0+ImfL8Y1zpVR5pdR5pdSfSqmzSqlVSqkWSqlDSqlLSql6SqmvlVKLlVI+SqmrSqlhht2/ByoppU4ppWYa1hVUSq03HHOVUsqs78LIu4+wt8tvXC5ll5/Ie6a9QJ80ex3PgGu0mrmRoSt8GNsu5c135uYdOs/zoOsvnkxoXy/H95rnJo6O9oSEhhuXQ0MjcEzTkHZ0LGUso9fribt7j+LFiwLgUrc2vn47OOa7nc8/H29srD9RtqwTtWpVx883+3stHB3tCQkJMy6Hhobj6Fgq0zJ6vZ67qXJ7olOntgQEBBIfH2/+oJ/E5ZQ+dqe058XJnpupYo+Lu0vx4kVxyihvJ9N9e3TvwJo1m43LI0dN5vvpE7h6xZcZ309kwoTp5kgrJXbHlNifxJguv+c4Nxn5Y+Fsjh/bzrhxn2dt0C+gSKlixIZFGZfjwqOxK1Us0/JvdW/KOZ/k90jYuRtUa1Ibm7y2FChaiMr1q1PEwXLDczJiV6oocSb5RVG4VPpzU793S77cN5e2Yz9k69fLsjPEZypqX4yo8DvG5ajwKIraZ36OmvRoQYDPCeNyMYcSzNg+l1+O/snW3zZavNcc0ucUHR5FMfvMXztN0+VUnO+3/8jPR//A/bdNlu81B/I6FOVRqtfa4/Ao8jqYvtYKv1aefI7FiPQ+abJelz8PlYa6cXHWhmyJ1WK0JPM+LCS3tPScgZ+A14GqwIdAQ2AU8JWhTFWgNVAPmKyUsgHGAlc0TautadpoQ7k3gOFAdaAi8E7aJ1NKfayU8lNK+S3a5fefAtdI32OS9tvA9tPBtH+zEjtHd+aX3k2YsOEwSUnJ+9UsU4KNw1xZNagNi/YH8k+CPt3xxL+T0feytD1cTyvj53uKui6tafxuB0aOGkKePCm9ywUK5GfV3wv4csy33Lt3P4sjf7b/mhtAtWpVmDp1HEOHjsv6AJ/i38f+7H1tbGxwdW3F+g0exnV8tJprAAAgAElEQVSDPu7DqNFfU7FSXUaN/oaFv8/+L+E/0/Pll36/Z/W+9us3jDouLWnWvAsN36lHz55d/lOc/1pG3R2ZxF6nY0PKvF6RPQvdAbhw4DRBe0/y+cYp9J73GcEnLpGkz2GXrTM8OelXHVnhzYzGw/H6/i+afdbJ/HG9gAyvwmby8mrYqTEVazrj/vsm47ro8Dt82WY4Ixp9QqMuTbErYZfxztkoo5wye8+806kxFWpWwuP3lC/p0eFRjG0zghGNBtOoS1MK54CcnvlaU4oaU3oT+M3KdMVeHd2Vqwu3oX+Yc6+yiczllsb5NU3TzmialgQEAru15HfdGaC8oYynpmn/aJp2B4gESmV8KI5rmhZiONapVPsbaZq2UNM0F03TXAa0SH8J6UWUKpyfiLiHxuVbcQ+Nw1ae2OR/hVavlQWgVtmS/JOYRGyaN1TFV+zIZ2vN5cjY/xSPSBEaGk5pJwfjspOTvXE4R0qZCGMZnU6HXeFCREebnoMLF67w8MFDqhvGAFtbW7PqrwWsWb2FrVt2mDmLjIWGhlO6tKNx2cnJgfDwyEzL6HQ6CqfKzcnJnrVrFzJgwAiuXr2efYEDoSHpY0871CQ0JJwyqWK3sytMdHQMIRnlHZayb5s2TTl58gyRkSk9bL17d2PTJi8A1q93p25d894QGhqaEvuTGNPlFxqR6bnJTFhYBJA8nGr1ms3ZcmNrRmIjoinimNJjaedQjLgMeiGrvPMaLYd2YtHAmegNQwoAds3fzKy2Y/mt9zRQitvXwtPta0lxEdHYmeRXnLtP6WUNcD9CjZb/7XMkq0VHRFHcIeUm3OIOxYm5FZ2u3GvvvE7HoV2ZNXCacdhHajGRMYRcvMmr9aqbNd7nkTanYs/IafbA6RnmFBsZQ8jFG1TNATk9DosmX6rXWl6H4jyOSHmtWRfMS+FXy9Bg4ySa+86j6JvO1Fs2CrtaFSnyhjPVJ35Ic995VPzfe1Qe1pHyH7XK6Glyt6Qk8z4sJLc0zlO3VJNSLSeRclNr6jJ6Mr/Z9XnLZYkaTsW5EXWP0Jj7JCTq2XHmOo2rljYp41AkP8euJH+wXo2MIz5RT9ECeQiNuU+iodcoLPY+1+/cxbFIAXOG+/+Kv/9pKjmXp1y50tjY2NC1qxtenrtMynh57aJnr+QeyE6d3mPfviMAlCtXGp1OB0CZMk5UrlKRG9eTx/X9umAGFy5c5pefF2VjNqb8/AJwdq5A+fJlsLGxoVs3Nzw8vE3KeHh406tXVwA6d26Lj89hAOzsCrNp01ImTpzBkSP/7crRv+Hrd8ok9h7dO+DhsTNN7Dvp3Tv5ps0uXdqx1+eQcX2P7h2wtbWlfPkyODtX4LhvyuXeHj06mgxpAQgLv0WjRsmzgjRt2pDLl6+ZMz3DuSlvzK97t/YZnpvexnPTDh9DfpnR6XTGYS/W1ta0fa85gYEXzJPAM9wMuELJ8vYUK10SnY2ON9waEOjtb1LGqUZ5uk37H38OnMn9qLvG9cpKkb9IQQAcqpbFsWpZLhyw7A2uaYUEXKFEeXuKGvKr5VafoDT5lSifMkyparM3iAqOyO4wn+pKwCXsKzhQsswr6Gysqe/WEH/v4yZlyteowMDpQ5g1YBp3o+KM64vZF8fGcJWwQOECvOpSlfArYVhaxjn5mpQpV6MCA6YPZvYzcqriUo3wK6Y3XVpC7KkrFKhoT76yJVE2Ohw71idiZ8prLfHeI3bU+JjddYexu+4wYk5c5njfWcQFXOVwx2+M66/+sY1L8zYTvHjnU55N5CQv9WwtwD3AoncmWuusGOvqwuBle0hK0ujwZiWcSxXh190BVHcsTpNqpfmiTR2mbDnKqsPnQSm+6VwfpRQnr0eyeH8Q1jorrBSMc61L0QJ5LZnOcxk9+Xt8T54mNvYuzTv2YsiA3nRxyzlTUz2h1+sZ+cVkNm9djk5nxYrl6zh37hITJo7gxIkzeHnuYtnSNfy56EcCzuwlJiaOfn0+A6B+g7qMHPkJCYmJJCUlMWL4RKKiYqhf34UPe3bm7JnzHD7qCcDXk2eyc4dPtuc2fPhE3N1XoNPpWLZsDefOXWTSpC/w9z+Dp6c3S5euYfHiuQQG7ic6OpY+fYYCMHhwXypVKs+4ccMYNy759g1X117cvh31tKfM0tg/Hz4BT8+/0FlZsXTZGoKCLjJ58ij8/QPw8PBm8ZLVLF06j3NBB4mJiaVnr+T7voOCLrJuvTunA/aSqNcz7PPxJBl6P/Lly0uL5o0YMuRLk+cb/Mlo5syZgrW1NY8fP2bw4DFmz2/48Il4uK9Ep9Ox1HhuRnLC/zQent4sWbqaJYvnEhR4gOjoWHr3SZlO8sKFwxQuVAhbWxvc3FrTzrUnN26E4OG+EhsbG3Q6K/bsOciixX+ZNY/MJOmT2DBpCYOWf4WVzopja/cScSmENiO6cfPMVQJ3+dN+XE/y5M9Dv1+HAxATeodF/5uFzsaaz9Z9DcDj+49YOeKXHDesJUmfxJZJSxm4fBxWOit81/pw61IIrUZ0JeTMNYJ2+dOgbyuc36lJUmIij+IesGbkAkuHbSJJn8TSSX8wbvlkrHQ6fNbuIuTSTbp+8QHXTl/Gf5cvH37Vj7z58/L5r8nvh6iw28waOA0n59L0mtAfTdNQSuGxcAs3L2Tv1bWMPMlp7PLJWOms8Fm7m1BDTldPX+bELl96ftWXvPnzMuzX5FGuUWG3mT1wOo7Opek1oZ8xJ8+Fm7l54YaFMwJNn8TZr5by9t/jUDorbv7tw/0LIbw6piuxp65xa6f/sw/ysntJZ2tROe0u8rSUUuUBD03TXjMsLzUsr3+yDVgP3Nc0bZahzFnAVdO0YKXUXySPVd8GeJJqKkWl1C+An6ZpSzN7/kdrp+Tsf9ALsm7Wy9IhmEXRss0tHUKWSkx6+e4t0L9kOVlZ5ZYLj89viH26W3ByPZtcMsvVi7ip5ZypJbNKbpmN7Hl98E/O70j7N9wi/s5RJ+qR51yzttHytRtukXxzfM+5pmnBwGuplvtlti3V+tTlP0yz2SfVtqFZFqgQQgghhMg+8guhQgghhBBCCHPK8T3nQgghhBBCpPOSjjmXnnMhhBBCCCFyCOk5F0IIIYQQuY+MORdCCCGEEEKYk/ScCyGEEEKI3OclHXMujXMhhBBCCJH7yLAWIYQQQgghhDlJz7kQQgghhMh9XtJhLdJzLoQQQgghRA4hPedCCCGEECL3kZ5zIYQQQgghhDlJz7kQQgghhMh9NM3SEZiF9JwLIYQQQgiRQ0jPuRBCCCGEyH1kzLkQQgghhBDCnJT2ko7XySrWtk4v1T/oUdgBS4cgnlOlKh0sHUKWal64iqVDyFIrw45aOoQsp7PSWTqELKezevn6oHTq5cvpYcI/lg4hSxXJW8DSIZjFnbsXlaVjSO3RqolmbaPl6/mtRfKVYS3/zxQt29zSIWS5mBu7LR2CEEIIIUSWkMa5EEIIIYTIfTQZcy6EEEIIIYQwI+k5F0IIIYQQuY/M1iKEEEIIIYQwJ2mcCyGEEEKI3EfTzPt4DkqpNkqpC0qpy0qpsRlsL6uU2quUOqmUOq2UavusY0rjXAghhBBCiBeklNIB84H3gOrAB0qp6mmKTQDWapr2BvA+8OuzjitjzoUQQgghRO5j+THn9YDLmqZdBVBKrQY6AEGpymhAYcPfdkDYsw4qjXMhhBBCCCFenBNwM9VyCPBWmjJfAzuVUp8BBYAWzzqoDGsRQgghhBC5T1KSWR9KqY+VUn6pHh+niSCjXxBNO1j9A2CppmmlgbbACqWe/jO/0nMuhBBCCCFyHzP/CJGmaQuBhU8pEgKUSbVcmvTDVgYAbQzHO6KUyguUACIzO6j0nAshhBBCCPHifIHKSqkKSilbkm/43JqmzA2gOYBSqhqQF7j9tINKz7kQQgghhMh1tKTnm+7QbM+vaYlKqaHADkAHLNY0LVApNQXw0zRtKzAS+EMpNYLkIS/9NO3p8zRK41wIIYQQQoh/QdM0L8ArzbpJqf4OAt55kWNK41wIIYQQQuQ+lp9K0SxkzLkQQgghhBA5hPScCyGEEEKI3MfMs7VYivScm0nrVk0IPLuf80EHGTP603TbbW1t+WvVAs4HHeTwQXfKlStt3PblmKGcDzpI4Nn9tGrZ2Lj+j4WzCQsJ4NTJ3dmSQ1otWjbixKndBJzZyxcjP0m33dbWlmXLfybgzF727ttE2bJOANRxqcXho54cPurJkaNeuLVvBYCTkwNe2/7C/4Q3vn47GDKkX3am80ImTJtDo3bv07FX+rxzksbN32Hvsa3s9/NkyOcD0m23tbVh/qKZ7PfzZIv3KkqXcQSgY9d2bNu3zvgIvhNA9ddeBWDN1sXsPbbVuK14iWLZmlNqrzWuzbTd8/je5xfaDu6UbnurAW585z2XKdvmMHrVZIo7lTRuW3RlLd94zeIbr1kM+2NsdoadHFurJpw9u59zQQcZnUmdsGrVAs4FHeRQmjphzJihnAs6yNmz+2mZqk64dPEoJ0/sws93J0ePmAx55NMh/Tl7dj+nTu1h+vTx5kssAy1bNub06b0EBu5n1Kgh6bbb2tqyYsV8AgP3s3//FmOuzZu/y+HDnvj57eTwYU+aNGmQrXGn1rJlY06e2s3pMz6MHDk43fbk+u4XTp/xwWffZsqWTc6hWbOGHDzkzvHj2zl4yJ3GjesDULBgAY4c9TI+rt84wQ8/TEp3XHNq0bIR/id3cer0HkZkUocvWTaPU6f3sMdnY0odXud1Dh7x4OARDw4d9cTVrZVxHzu7QixfOR+/E974+u+kXr03zJ5HVn++5smThyOHPPD38ybg1B4mTxppLD9kcD/OBx0kMT6U4sWLmj03gGYt3uWo/3aOn/Jm2Ii002on1+N/LpnL8VPe7NizjjKG81SmrBM3b51m78Et7D24hVk/fmPc56uJIwgI2kdw2MlsyUH8NxbrOVdKlQc8NE177TnLLzWUX6+U+hOYYxhkn7pMP8BF07ShWRvti7GysmLeT1Np0/YDQkLCOXrEC3ePnZw7d8lY5qP+HxATE0fV6g3p3r0906eN58Oeg6lWrTLdu3fg9drNcHQsxY5tq6lW412SkpJYvnwtv/66hCVLfrJITnN+nEJ7196Ehkaw/8AWvDx3cf78ZWOZvv26ExsbR62aTena1ZVvvxtL3z6fERR4gXffaY9er6eUfUmOHvXCy3M3ifpExo2bSsCpQAoWLMCBQ+7s2XPQ5Jg5Rce2LfmwS3u++naWpUPJlJWVFd/9MJ6enT8mPCwC992r8d6+l0sXrhrL9OjVmbjYuzRyaYdb5zaM+3oEnw4Yzeb1nmxe7wnAq9Uqs2jVPILOXjDu9/mgsZw+FZTuObOTsrKi95T/MavXFKIjopi0dQanvH0JuxxiLHMj6BpT3MYQ/ziepr1a031cbxYMnQNA/ON4JrcdZZHYn9QJ76WqEzwyqBNiY+KoZqgTpk0bT09DndCjewdqGeqE7dtWU91QJwC0aNmNqKgYk+dr3LgBbm6tefPNFsTHx1OyZPFszfWnn76jXbuehISEc+iQOx4e3pw/n5Jrv349iI2No0aNRnTr5sZ3342jd+9PuXMnmi5dPiI8/BbVq1fB3X0llSrVy7bYU+cw58cpuLn2IjQ0ggMHtuLp6Z1hffd6zSZ07epmqO+GEhUVQ9euA4gIj6R69Sps2bqcys5vc//+A+q/3da4/8FD7mzZsj1bc5o95xs6uPUhNDQCnwOb8fLcxYVUOfXp253Y2LvUfr0ZXbq68s23X9K/7zCCgi7SuGEHYx1++Kgn27x2o9frmTFzEru899Gn16fY2NiQP39es+eR1Z+v//zzDy1adefBg4dYW1uz32cT27fv5djxExw+4oun1y52e683a16p85sxezJdO/QnLDQCb58NbPfazcULV4xlevbpRmxsHPVqt6RTl3ZM/mY0A/sPByD42g2aNuyQ7rg7tu9h0cKVHDu5M1vyyDYWnq3FXHJlz7mmaQPTNsxzknp13+DKlWCuXbtBQkICa9duob1ba5My7d1asWLFOgA2bPCkWdOGhvWtWbt2C/Hx8QQH3+TKlWDq1U3uiThw8BjRMbHZm4yBi0strl65TnDwTRISEli/3p12ri1NyrRr15JVKzcAsGnTNmOv16NHj9Hr9QDkzZOHJxMI3Yq4TcCpQADu33/AhQuXcXC0z6aMXoxL7ZrYFS5k6TCeqnadmgRfu8GN6yEkJCTivnEbrd5ralKmVdumrF+dPAWr1xZv3mmU9leGoUOX99iywSvdekurWNuZyOsR3L55C31CIsfdD/JGq7omZc4fOUv843gArpy8SFH77GuUPk3aOmHN2i24pakT3DKpE9zcWrMmkzohM4MG9eGHmfOJj0/+X9y+HWWGrDJWt25tk1zXrXPHLVVPKyTnunJlcmNn40YvmjZNnsggICCQ8PBbAAQFXSRv3jzY2tpmW+xPuLjUTlffubqa5uDarlWq+s7LWN8FBAQSEZ782yJBQRfJkyd9DpUqladkyeIcOnQ8G7JJ5uJSi6tXU3LasN4jfR3u2oK/VyXntPk56vBChQrS4J16LF+2FoCEhATi4u6ZNQ9zfb4+ePAQABsba6xtbHgy092pU4Fcvx5CdnnT5XWuXb3OdcN52rTBk/famf7a+3vtmrP6700AbN28nXeb1H/mcf19A7h166lTa4scxNKNc51S6g+lVKBSaqdSKp9SqrZS6qhS6rRSapNSKt11JKWUj1LKxfB3f6XURaXUPlJNVaOUclNKHVNKnVRK7VJKlVJKWSmlLimlShrKWCmlLiulSmRlUo5O9twMSfmBqJDQcBzTNDpTl9Hr9cTF3aV48aI4Omawr5PlG6yOjvaEhIYbl0NDI9Ln5FjKWEav1xN3957xMqBL3dr4+u3gmO92Pv98vLGif6JsWSdq1aqOn+8pM2fy8rJ3eIWw0AjjcnjYLUo5lMq0jF6v597d+xQtVsSkjFunNmzZuM1k3axfvmPbvnUMGzXITNE/W9FSxYgOu2Ncjg6PpmipzBvfjbo354zPCeOyTR5bJm2dwYRN03mjVfb2xjo62ROS6n0dGhqO03PWCU6O6fd9UidomsY2r785dnQbAwf0NJapUrkiDRvW49BBd3bvWo9LnVrmTM80j4zidSyVaRm9Xs/dVHXFE506tSUgIND4BSM7Jddlpjk4pMshpUxmOXTs+B6nM8ihW/f2bFjvYaboM+bgaE9ISEodHhYajmOa+sHBsZSxzJOcij2pw11qccx3O0eOb2P4sAno9XrKVyhD1J1oFvz+AwcOu/Pz/Onkz5/PrHmY6/PVysoKP9+dhIeeZvfu/Rz3tczwDweHUoSFpNTjYWER6V57Dg6lCE17nooln6ey5Uqz58Bmtnqt5O36LtkXuKUkJZn3YSGWbpxXBuZrmlYDiAW6AMuBLzVNex04A0zObGellAPwDcmN8pZA9VSbDwJva5r2BrAaGKNpWhKwEnjyKdYCCNA07Q5ZSCmVbl3a+eYzLvN8+1rCv88puYyf7ynqurSm8bsdGDlqCHnypPQkFSiQn1V/L+DLMd9y7979LI78/4//eo4guff90aPHXDyXcql72KCxtGrYma7t+lKv/pt06eGWhVG/gBd4b9Tv2Ijyr1di28ItxnWjGgxiSvsv+X3YXD6c1J+SZUtluK85mKtOaNykI/XeaoOrWy8GD+5Hw4bJV0J01jqKFrHjnYZujB37HX/99VtWpPFcsuJ1WK1aFaZOHcfQoeOyPsDn8Fz18DNzqMy3343ls8++Sleua1c31q5L+yOC5pVBuOnPCxkWAsDPL4C36rahSaOOjBw1mDx5bLHWWVOrdg0W/bGKdxu48fDhwwzvR8pK5novJSUl4VK3FeUquFDX5Q1q1Hg1iyJ+Mf86PzRuRURSu0YTmr3bkYlfTef3RbMpWKiA2WIV5mPpxvk1TdOedJX6A5WAIpqm7TOsWwY0esr+bwE+mqbd1jQtHliTaltpYIdS6gwwGqhhWL8Y6GP4+yNgSdqDKqU+Vkr5KaX8kpIevHBSoSHhlCntmBKIk4PxUm1GZXQ6HXZ2hYmOjiE0NIN9w0z3tYTQ0HBKOzkYl52c7NPnFBphLKPT6bArXIjoaNNhOBcuXOHhg4dUN1R81tbWrPprAWtWb2Hrlh1mzuLlFh52y+Qqi4NjKSIjIjMto9PpKFS4ILExccbt7TunH9Jyy3CJ/sH9h2xe70WtN2uaK4WniomIophjykWuYg7FiI2MTleu+juv4zq0Cz8NnE5ifKJxfWxk8rjs2zdvcf5oIOVqVDB/0AahIeGUTvW+dnJyIOw564SQ0PT7PqkTnrwHb9+OYvOWbdStW9t4rE2bk69++PqdIikpiRLZdCNvaEbxhkdmWkan01E4VV3h5GTP2rULGTBgBFevXs+WmNNKrstMc4hIk0NYqjJpc3B0sufv1b/zv4FfcO3aDZP9atashrW1jlMnz5o5C1NhoRGULp1Shzs6ORCepn4IC0spkzanJy5euMKDBw+pXv1VQsPCCQ2NwM8vAIDNm7ZTq/Zz3Ub2r5n78zUu7i779h+mdasm5kviKcLCInAsnVKPOzrap3/thUXglOY8xUTHEh+fQIzhfAWcCiT42g2cnbOvnrMI6Tk3i39S/a0HimRW8Cky61b+GfhF07SawCAgL4CmaTeBW0qpZiQ37rel3VHTtIWaprlomuZiZfXi3zp9/U7h7FyB8uXLYGNjQ/fuHXD3ML0Jw91jJ717dwOgS5d27PU5ZFzfvXsHbG1tKV++DM7OFSx2eS01f//TVHIuT7lypbGxsaFrVze8PHeZlPHy2kXPXl0A6NTpPfbtOwJAuXKl0el0AJQp40TlKhW5YRjD9+uCGVy4cJlffl6Ujdm8nAJOnKVCxXKUKeuEjY01bp3fw3u7j0kZ720+dH2/PQBtO7Tk8IGUMa9KKdp1aIX7xpSb1HQ6nXHYi7W1NS1aN+JiqhuvstO1gMu8Ut6BEqVfQWdjTT23hpz09jMpU7ZGBfpOG8S8gd9zL+qucX3+wgWwtk2+/71g0UJUrlOVsEvZN440bZ3Qo3sHPNLUCR6Z1AkeHjvpkUGdkD9/PgoWTK6f8ufPR8sWjQkMTL6Jd+vWHcZx3JUrV8TW1pY7d9J/kTEHP78Ak1y7dXPDw8M7Ta7e9OrVFYDOndvi43MYADu7wmzatJSJE2dw5IhfumNnF3//gHT1naenaQ6eXt6p6ru27NuXksPGDUuYPOkHjh71T3fsbt3as26du/mTSMPf/zQVK6Xk1KWra/o63HM3H/RMzqljpnW4I5WrVOT6jRAib90hNCQc58rJDcAmTRqY3PhrDub4fC1Rohh2doUByJs3L82bvcuFVDdgZqeT/meoWLE8ZQ3nqVOXdmz3Mp2hbbvXHt7/IHm2qvYd23DAcJ6KFy+KlVVys65c+TJUrFSe4OCb2ZuAyBI5bZ7zOCBGKfWupmkHgN7AvqeUPwb8pJQqDtwFugEBhm12QKjh775p9vuT5OEtKzRN05PF9Ho9nw+fgJfnX+isrFi6bA1BQRf5evIo/PwD8PDwZvGS1SxbOo/zQQeJiYnlw17J040FBV1k/Xp3zgTsJVGvZ9jn442zMqxcMZ/GjepTokQxgq/68c2UWSxZujqrw880p5FfTGbz1uXodFasWL6Oc+cuMWHiCE6cOIOX5y6WLV3Dn4t+JODMXmJi4ujX5zMA6jeoy8iRn5CQmEhSUhIjhk8kKiqG+vVd+LBnZ86eOc/ho8kzhXw9eSY7d/hkS04vYvTk7/E9eZrY2Ls079iLIQN60yXNTUiWptfrmThmGivW/4ZOp2PNqk1cPH+FL8Z9ypmTgXhv92HNyo3M/W06+/08iY2JY+jAMcb932pQh/CwCOMXJwDbPLasXP871jbW6HRWHNx3lL+Wb7BEeiTpk1g16U9GLp+Ilc6KA2v3EHbpJh1HvE/wmcuc2uVH93F9yJM/L0N+TZ4KLSr0DvP+9z2OzqXpO20QSZqGlVJ4LthkMsuLuT2pEzzT1AmTJ4/CP1WdsHTpPM4Z6oSeqeqEdevdOZ2mTihVqiTr1yV/qdVZ61i9ejM7d/oAsGTpav78YzYnT+4mIT6BjwYMz9Zchw+fiLv7CnQ6HcuWreHcuYtMmvQF/v5n8PT0ZunSNSxePJfAwP1ER8fSp0/yBFuDB/elUqXyjBs3jHHjhgHg6torW29ofZLDyC8msWXrcnQ6HcuXr82gvlvLn4vmcPqMDzExsfQ11HeDPulDxUrlGDtuGGMNObR3623MoXOXdnTu1D9b83mS0+iRX7NpyzJjHX7+3CXGTxjOiRNn2Oa1m+XL1rDwzzmcOr2HmJg4+vdNjr9+AxdGfJFSh38xfBLRhhmCRo/6mj8Xz8XW1obgazcY8smYp4WRJXlk9eerg0MpFi+ai05nhZWVFevXu+PplfzFZeinHzFq5BDs7Uty0n8X27bvYdAno82a39jRU1i3aRFWOh1/rVjPhfOXGTt+GKdOnGX7tj2sWr6OXxfO5Pgpb2Jj4vhf/xEA1H+nLmPHf05iop4kvZ5RwycZr4xOnjKaLt3cyJ8/H6fP7Wfl8nX8MP1ns+WRbXLAsF9zUJYaz5x2KkWl1CigILAZ+A3ID1wF+muaFpNmKkUfYJSmaX5Kqf7AOCAcOAXoNE0bqpTqAPxIcgP9KFBX07QmhueyAaKAepqmnX9anNa2Ti/Vmc9rnf0zH5hbzA3LzPtubpWqpJ8OKzdrXriKpUPIUivDjlo6hCyns9JZOoQsp7Oy9AXirKdTL19ODxP+eXahXKRI3pdzrPeduxczuDHBch7OHWTWNlr+4b9bJF+L9ZxrmhYMvJZqOfUE0m9nUL5fqr+bpPp7CRmMG9c0bQuwJe16g1ok3wj61Ia5EEIIIYTIoSw4LtycctqwFrNTSlfmA60AACAASURBVI0FBpMyY4sQQgghhBA5wv+7xrmmad8D31s6DiGEEEII8R/IL4QKIYQQQgghzOn/Xc+5EEIIIYR4CWgy5lwIIYQQQoicQYa1CCGEEEIIIcxJes6FEEIIIUSuo72kUylKz7kQQgghhBA5hPScCyGEEEKI3EfGnAshhBBCCCHMSXrOhRBCCCFE7vOSTqUoPedCCCGEEELkENJzLoQQQgghch8Zcy6EEEIIIYQwJ+k5F0IIIYQQuY/Mcy7+j737Do+i+ho4/r27SShSBFRIoQiICioRAkonlFCSQOgqVQFRfkoRRHhBiiJiQ0Sx0puUUFMIhFBC6AESSugQSgo1AQWBsLnvH7tssimAmk0Ins/z5GF358zsOZmb2bt37gxCCCGEEELYk4yc/8fcvHMbB4Mxr9MQD+DE0ZV5nUKOerxck7xOIUc5OThSwOiY12nkONMjdvcDAyqvU8hxRsOjN672qH0upWrNtVs38jqNR98jOudcOuf/MY/aARCgUpW2eZ1CjnvUOuYAyWfWP1IddOmYCyGyIx1z8W9I51wIIYQQQuQ/j+iAwqN3bkwIIYQQQoh8SkbOhRBCCCFE/vOIzjmXkXMhhBBCCCEeEjJyLoQQQggh8h0t9zkXQgghhBBC2JOMnAshhBBCiPznEZ1zLp1zIYQQQgiR/zyinXOZ1iKEEEIIIcRDQkbOhRBCCCFE/iP/CZEQQgghhBDCnmTkXAghhBBC5D8y51wIIYQQQghhTzJyLoQQQggh8h0tI+dCCCGEEEIIe5KRcyGEEEIIkf/IyLkQQgghhBDCnqRznoNaeDXm4IFwDsdEMOzD/2Va7uTkxIL5P3E4JoKtEQGUL+9mXfbRsPc4HBPBwQPheDVvZLOewWBg1841rFw+2/rar798ze7IUPbsDmXRwl957LHC9issC82bN2Lfvg0cPBjO0KH9My13cnJi7typHDwYTnj4SmutTZs2YOvWICIj17J1axCNG9fN1bzTa9S0Hht2rCI8Moj+A3tnWu7k5MjU6V8RHhnEytD5uJV1AcCvozerNy2x/sReiqbqC88CsGjVDDbsWGVdVuqJkrla098xasIkGnq/hl+3d/I6lXtq3rwRe6PC2Ld/I0OGvJtpuZOTE7Pn/MC+/RvZuGkF5cqZ21qTJvWJ2BLAzp0hRGwJoFGjOtZ1HB0d+f6HCURFr2fP3jDatm2Za/UANG3WgB171hAZtY6BH7ydabmTkxPTZ00mMmodoev9KVvO1Wa5q5szZxKieG+Aud1WfuZpNm1ZZf05HbeXd/r3yo1SrJo2a0jknlD2Rq9n8Af9Mi13cnJi5uwp7I1eT9iGpZSz1FSj5kts3hrA5q0BRGwLxMfXCzDXdPf1zVsDOBsfxbu5XNNdTZs1ZOeeteyODmNQNrVNn/0du6PDCN2QeX+5uTlzNjHaur8eBk2aNWD77hB2RoUyYHBWbdCRaTMnszMqlDXrl1hrKlvOlbPn97EhYiUbIlby9bfjcjt1Gzn9twQQdWADEdsD2bRlFWGbltm9hpzuOxQoUIBtWwLZHRlKdNR6xoweYo3fuH4ZkbvWErlrLWdid7PUf7rd67Or1FT7/uSRfNE5V0ptVEp53Ceml1Lqh9zKKSODwcCU7z7Dx7cbL1b3pEsXP55//hmbmLfefJ2kpKs8V7U+k6f8xucTRgLw/PPP0LlzW15yb4K3T1e+nzIBgyFt1wx4vw+HDx+z2daQoWOp6dGcGjWbc/ZMHP/r/6b9i7QwGAx899142rbtibt7Uzp3bsNzz9nW2qtXF5KTr1KtWkO+/34a48ePAODSpSt06PAWHh5e9OkzmOnTJ+da3ukZDAbGfzmSnp3707ROW9p0aMUzz1a0ienSrT1Xk6/R0MObaT/NZcTYwQCs8A+iVaNOtGrUiUHv/B/nzsQTc+CIdb2B/YZbl1++dCVX6/o7/Fo35+dJ4/M6jXsyGAxM+vYT2vn1omaN5nTq1IbnnqtsE9OzV2eSk6/y0ouN+eH76Xw6fjgAly8n0bFjb2rXbsnbfYcwbfq31nWGffQeFy9exr16E2rWaEZExI5crenLb8bSuX0f6tRqRYeOPjz7rG1N3Xp0JDn5Gh7uzfhp6kzGfvKhzfIJE0cSFhpufX782Cka1WtDo3pt8Gzgx42//iIwYG2u1APmmr6ZNJaO7d+itkcLOnTy5dkM+6lHz04kJ1/l5epN+HHqTMZ9+hEAh2KO0riBHw3q+tLB700mTxmP0Wjk+LFTNKjrS4O6vjSq35a//rqZqzWlr+2rSWPp1L43r3q0pEMnn0y1de/ZiavJV6lZval5f306zGb5Z1+MZF26/ZXXDAYDX3wzhi4d+lKvVmvad/ShyrOVbGK69jDvr9ruzfl56izGjEtrg7GnzuBZvy2e9dsydPCY3E7fyh5/S3e18e5Oo3ptaNqovd1ryOm+w61bt2jm1ZmaHs2p6eFFC6/GvFK7BgCNm7THo5YXHrW82L5jN8tXrLZrfeKfyRed8/ygdq2XOXEillOnzpCSksLixStp49vCJqaNrxdz5y4BYOnSIJp41re83oLFi1dy+/ZtYmPPcuJELLVrvQyAq6szrVs1ZcaM32229ccff1ofFyxUEK1zb95VrVruNrUuWRKAr2W06y5fXy/mzfMHYNmyYDw96wEQHX2QhITzAMTEHKVgwQI4OTnlWu53udd8kdhTZzhz+hwpKXcIWLYar1aeNjFerT3xX7gKgOCVodRr+Eqm7bTt0IqVS4NzJeec5uH+IsWLFc3rNO7Jw8OdkydOExt7lpSUFPz9A/DxsW1rPt5ezJ+3FIDly4OtZ2Oiow+SmHABMLe1AgXS2lqPHp34+qsfAdBac/lyUm6VRE2Plzh18jSnLTUtWxpEK5+mNjGtvZuxcIF5xG7lihAaNk4b9W/t04zY2LMcPmT7hf2uRo3rEnvqDOfOxtuviAxqelTn5Mm0/bTMPxBv72Y2Ma29m7FgvrmmFctX08hS019/3cRkMgFQsGCBLI9ljRvX5dTJM5zNxZruulubdX/5B9E6Q22tvJvx+/zlAKxcHmKtDcz76/Sp7PdXXqiRoQ0uXxpEq0w1NWXh7+aaVq0IoUG6mh4W9v5byg326jtcv34DAEdHBxwcHTP9XRUp8hiejeuxcmWIvUu0r1Rt3588YpfOuVJqmFJqgOXxt0qp9ZbHTZVS85RSXkqpbUqpPUqpJUqpIpblNZVSm5RSu5VSa5RSzhm2a1BKzVZKjbc8f1MpdVQptQmoly7OVym1Qym1Vym1TilV2rLuMaXUk+m2dVwp9URO1OziWoaz59I+OM7FJeDiUibbGJPJxNWr1yhVqgQuLlms62ped9I34xg+YjypWZxemfbbJOLORvHcs5X5YeqMnCjjgbi4lOFcunzj4hJwcSmdbYzJZOLatT8oVaqETUy7dq2Jjj7I7du37Z90BmWcnyI+LtH6PCH+PKWdS2cbYzKZ+OPan5Qo+bhNjG+7lqxcZjvy8PUP41m9aQkDhmY+/S3+HheX0pyLs21rzpnaWlpMdm3Nz68V+yxtrXjxYgCMHj2ELVsDmTtvKk89lSOHgQfi7FyGuLgE6/P4uEScM7Q9Z5fSxJ1La3vXrv5JyVIlKFy4EAMHv82Xn3+f7fbbd/Rm6ZJA+ySfDReX0sSdS6spLi4x035ydiljjTHX9AclLfuppkd1tu9azdYdwQwe+LG1s35X+44++PsH2LmKrDlnqC0+i9rS1595f/Xji3vsr7zg7Fya+HNpx7/4+Cz2l3OGmq79QcmS5v1Vrrwb6zevYFXwPF6tc8+T2nZlr78lrTVLV8xkffhyer7Zxa412KvvYDAYiNy1loS4fYSFhbNz116bbfr5tWL9hi02A33i4WGvkfNwoIHlsQdQRCnlCNQH9gOjgGZa6xpAJPCBZfn3QEetdU1gBvBZum06APOBo1rrUZaO+zjMnfLmQNV0sRHAq1rrl4GFwDCtdSowD+hqiWkGRGutL2VMXin1tlIqUikVmZp6/YEKVkplei3jN9WsY7Jf17t1My5cuMSevfuzfM8+fT+gbPkaHDp8jM6d2jxQnjnhn9eaFvP881X47LMRvPfeiJxP8AHkRA3uNV/kr79ucvTQcetrA/oNx6t+ezp696R2nRp06OKbg1n/9zzIfuK+be0ZPh0/nPff/z8AHByMuLm5sG1bJPXq+rBzxx4mTPi/nE38HrJI94Hb3vCRA/jph5nWUbGMHB0dadm6CSuX5+6p6uyObbYxmde7W/fuyGherdUKz0bt+GDIOxQokHY2zdHRkdbeTVmxPG/OUP2bNjh85EB+mpr9/sor//j4h+Z84gXcqzWmSQM/Pv6/z/ll+jcUKfqY3XK9F3v9LbVq/hqeDfzo3L43vft2pU69WjmWc0b26DsApKam4lHLi/JPe1DL42WqVXvWJu61zm1ZuGjFv0n94SAj53/LbqCmUqoocAvYhrmT3gD4C3NHeotSKgroCZQHngVeAEItr48C3NJt8xfggNb6bof9FWCj1vqi1vo2sChdrBuwRim1H/gQqGZ5fQbQw/L4LWBmVslrrX/VWntorT0Mhgc76MSdS6Csm0taAq7O1ukbWcUYjUaKFy/GlStJxMVlsW78eerW9cDXx4vjR7czf96PeHrWY/asKTbbTE1NZcmSVbRv5/1AeeaEuLgE3NLl6+rqTIJl+kBWMUajkWLFinLlSrIlvgyLF/9K796DOXnydK7lnV5C/HnrCAOYR1cuJF7INsZoNFK0WBGSk65al7dpn3lKy3nL7+H6nzdY4R9M9Rov2quE/4S4uETcXG3bWmKGthafLiZjW3NxLcPvC3+hb58POHXqDGCei379+g1WrVoDmKddVXd/ITfKMecbn4ira9pJQRfXMiQmZq7J1S2t7RUrXoSkK8nU9KjO2E+HEXVgA+/078XgIe/Q5+1u1vWaeTVkX1QMFy9ezp1iLOLiEnF1S6vJ1bUMiRmOf/HpYsw1FSXJsp/uOnrkBNdv/EXVqmkdieZejYiOOsjFC7lb013xGWpzcS2TZRu0rc28vzxqVWfcp8OIPriRd/v34oOh79K3X/dczT8r8fGJuLilHf9cXLKoKT5DTcXM++v27RTrfouOOkjsqTNUrvx07iWfMUc7/C3d3calS1cICgilZs2X7FaDPfoO6V29eo1N4Vtp4dXY+lrJkiWoVetlgoPD7FCRyAl26ZxrrVOAWOBNYCuwGfAEKgGngFCttbvlp6rWujeggIPpXn9Ra51+culWwFMpVTD9W2WTwvfAD1rrF4F+QEFLXmeB80qpJpg79zk2vLQrMorKlZ+mQoWyODo60rlzWwICbS9eCghcS/funQDo0MGbDRu3WF/v3LktTk5OVKhQlsqVn2bnrr2MHDWRChU9qFzlVbp268+GDVvo2WsAAJUqVbBu18e7OUeOHCe3REZG29TaqZMvgYGhNjGBgaF069YRgPbtW7Nx41YAihcvxvLls/j44y/Yti0y13LOKHrPAZ6uWJ6y5VxxdHTAt30rQkM22sSErt5Ix9fMZyRat23O1s07rcuUUni39SJgWdp8PaPRaJ324uDgQLMWDTn6EM0zzY92746mUuUKlC/vhqOjIx07+hIUZNvWgoJD6dqtA2CeKrVpU1pbW7Z0JmNGf8n27btt1gkODqNhw1cB8PSsl+mCa3vas3s/FStVoJylpvYdvAkJsv2QXB0cxmtvmC9Ea+vXks2btgPg3eIN3F/wxP0FT37+cRbffvMz036dZ12vQ0cflvrn7pQWgD2791GpUtp+at/RJ9MHf3BwGG90Ndfk164V4Zu2AVC+vBtGoxGAsmVdeOaZpzl95px1vY6dfPFfkjdTWuBubeXT9ldHb1ZnqC0kOIzXu7YDoG27loRb9ldrr9epXq0x1as15qcfZzHp65/47Ze5uV5DRnt376dixbQ22K6DNyGZalrPa6+ba2rj15LNlv1VqlQJ6w0LylcoS8VKFYiNPZu7BVjY42+pcOFCFCliHpQrXLgQnk3rcyjmqN1qsEff4YknSlqn7xUsWJCmTRpw5MgJ6/Y6dvAhKHgdt27dsltduUVrbdefvGLP/4QoHBiKeYR6PzAJ84j6dmCqUqqy1vq4Uqow5pHuI8CTSqk6WuttlmkuVbTWBy3bmw40BJYopdoBO4DvlFKlgGtAJyDaElsciLM87pkhr2mYp7fM1VqbyCEmk4mBg0YRHLQAo8HArNmLiIk5ytgxQ4ncHU1gYCgzZi5k9qwpHI6JICkpmTe6mW9BGBNzFH//APZHb+COycSAgSOznGN+l1KKmdMnU7RYEZRS7NsXw/9ycXqIyWRi0KCPCQiYi9FoZPbsRRw6dJTRoz9g9+79BAWFMmvWImbMmMzBg+FcuZJMjx7vAfDuuz2pVKkCI0YMYMQI8xcNH59uuT7SZzKZ+HjYBOb6/4zRaGTR/OUcPXyCD0b8j/17DxIaspFF85Yx+efPCY8MIjnpKu/1SbsDwyt1a5IQn8iZ02mdCKcCTszz/wUHRweMRgMRm7azYM7SXK3r7/hwzER27d1HcvI1mvp1o3/v7nTIcCFSXjOZTAz5YDQrV83BaDQyZ85iDh06xqiPB7Nnz36Cg9Yxe9Zipk2fxL79G0lKSqZnj/cB6PdODypWKs/wEQMYbmlrbXy7c/HiZT4eNZFp0yfx5ZejuXTpCv36fXivNHK8pmFDx+G/YgZGg5H5c/05fPg4I0YOZO/e/YQEr2fenCX8/NvXREatIykpmT5vDr7vdgsVKkjjJvUYPPDjXKjClslkYuiQcSxbMQuj0cC8uf4cPnSM/xs1iL179rM6OIy5sxfz67Rv2Bu9nqSkZN7qNRCAV+t4MHhIP1JS7qBTUxkyeAxXLBfoFipUEE/PegwaMDLXa0pf27Ah41i6YiZGo5H5c5dw+NAxRowaSNSeA9bafp72Dbujw0hKSqZ3r0F5lu+DMJlMDP/wE5Ysn47BaGTBXH+OHD7O8JEDiNpzgJDV65k/Zwk//voVO6NCSU66Sl9LG6xTrxbDRw7kzh0TqSYTQweNtjmjmNt15PTf0pNPPcHcBVMB8yCL/+IAwtZttmsNOd13cHYuzYzpkzEaDRgMBvz9AwgKXmd9zy6d2/DlV1PtVpP495S9vhkopZoCIcDjWuvrSqmjwM9a60mWkesvgAKW8FFa61VKKXdgCubOtQMwWWv9m1JqIzBUax2plBoHVME8d7wnMAJIAKIAo9b6PaVUW+BbzB307UAtrXVjS16OwGWgttb68P3qcHByfaT++ykHgzGvU8hxTxUuntcp5LgTR1fmdQp28Xi5JnmdQo4pYHTM6xRynEnn3X197cVAFhOT8zmj4dG70VpqHo5S2sO1Ww/XdQY55c7tuIfqD+paXy+7Npxiv63Nk3rtNnKutQ4DHNM9r5Lu8Xog0xUWWusozKPjGV9vnO5x+puqziSLeeNa65VAdr2b6pgvBL1vx1wIIYQQQojcZM9pLQ8dpdRw4F3S7tgihBBCCCHyozy8o4o9PXrnxu5Baz1Ra11eax2R17kIIYQQQgiR0X9q5FwIIYQQQjwa9CM6ci6dcyGEEEIIkf88op3z/9S0FiGEEEIIIR5mMnIuhBBCCCHyn0fv7q+AjJwLIYQQQgjx0JCRcyGEEEIIke88qheEysi5EEIIIYQQDwkZORdCCCGEEPmPjJwLIYQQQggh7ElGzoUQQgghRP4jd2sRQgghhBBC2JOMnAshhBBCiHxH7tYihBBCCCGEsCsZORdCCCGEEPnPIzrnXDrn/zGmVFNep5DjmharktcpiAeUfGZ9XqeQo6o93zmvU8hRl25ezesUxAO4eSclr1PIcZpHa3qCg8GY1ymIfEw650I8hB4v1ySvU8hxj1rHXAghRN6SOedCCCGEEEIIu5KRcyGEEEIIkf88onPOZeRcCCGEEEKIh4SMnAshhBBCiHxHy8i5EEIIIYQQwp5k5FwIIYQQQuQ/j+jIuXTOhRBCCCFEviPTWoQQQgghhBB2JSPnQgghhBAi/5GRcyGEEEIIIYQ9yci5EEIIIYTId2TOuRBCCCGEEMKuZORcCCGEEELkOzJyLoQQQgghhLBSSrVUSh1RSh1XSg3PJqazUipGKXVQKbXgftuUkXMhhBBCCJHv5PXIuVLKCEwFmgPngF1KqVVa65h0Mc8AI4B6WuskpdRT99uujJwLIYQQQgjx99UGjmutT2qtbwMLgbYZYvoCU7XWSQBa6wv326h0znNQC6/GHDwQzuGYCIZ9+L9My52cnFgw/ycOx0SwNSKA8uXdrMs+GvYeh2MiOHggHK/mjWzWMxgM7Nq5hpXLZ1tfmzP7ew4eCCdqbxi//foNDg72OQni5dWYAwfCORQTwYfZ1DR//k8ciolgS4aahg17j0MxERw4EE5zS01VqlQictda68/lS4cZ8H4fAKpXr0bE5gAid61l+7Zganm426Wm7LzQyJ0JYVOYuPEHWr/bLtNyr96+jA+dzCerJ/Hh/DGUcn3Sumz6icWMC/6accFfM+C3LM9q5YrmzRuxNyqMffs3MmTIu5mWOzk5MXvOD+zbv5GNm1ZQrpx5fzVpUp+ILQHs3BlCxJYAGjWqY13H0dGR73+YQFT0evbsDaNt25a5Vs/fNWrCJBp6v4Zft3fyOpV/pEGTOoRsW0rozuW8PaBnpuUedV5medg8YhK208K3aR5kmL2mzRqwY88aIqPWMfCDtzMtd3JyYvqsyURGrSN0vT9ly7naLHd1c+ZMQhTvDehtfa1Y8aLMmvs923eHsD0yhFq1c++YYI96og5sIGJ7IJu2rCJs0zK715BRs+YN2RMVRvT+DXwwJPPfiPn48D3R+zewYdNyyllqqulRna3bg9i6PYht24PxbeNlXefHn7/gVOwudu4KybU60rPHMa9Tpzbs3BnCjh2rWbFyNqVKlci1esBc0759Gzh4MJyhQ/tnWu7k5MTcuVM5eDCc8PCV1s/dkiUfZ82ahVy6dIhvv/3EZp2OHX3ZtWsNe/as47PP/i9X6sgVWtn1Ryn1tlIqMt1PxoOBK3A23fNzltfSqwJUUUptUUptV0rd90M01zrnSqlYpdQTWby+1d7vkRsMBgNTvvsMH99uvFjdky5d/Hj++WdsYt5683WSkq7yXNX6TJ7yG59PGAnA888/Q+fObXnJvQnePl35fsoEDIa0XTPg/T4cPnzMZlu//76cai80xP3lphQqVJDeb71ht5p8fbvxUnVPXsumpuSkqzxftT7fTfmNCelq6tK5LdXdm+CTrqajR0/gUcsLj1pe1H6lJTdu/MWKlasB+HzCSD4dPwmPWl6MHfc1n38+Msdryo4yGOj+SV++7fUZI5sP4pU29XGp7GYTcybmFJ/4DmN0qw+IXL2dziO6W5fdvnmbMa2HMqb1UKb0nZhreadnMBiY9O0ntPPrRc0azenUqQ3PPVfZJqZnr84kJ1/lpRcb88P30/l0vPmLxOXLSXTs2JvatVvydt8hTJv+rXWdYR+9x8WLl3Gv3oSaNZoREbEjV+v6O/xaN+fnSePzOo1/xGAwMGbiR/R9bQCt63XCp10LKlV52iYm4Vwiw98fS+DSNXmUZdYMBgNffjOWzu37UKdWKzp09OHZZ23bXrceHUlOvoaHezN+mjqTsZ98aLN8wsSRhIWG27z2+ZejCFsXzqs1W9Kgji9Hjpywey1gv3oA2nh3p1G9NjRt1N6uNWR09/jQ3q8XHjW87nl8qP6iJ1PTHR9iDh6hQb021H3VGz+/nkyZ8hlGoxGA+XOX4ufXK1drucsexzyj0chXX42mVavXeeWVVhzYf4h+72T+omzPmr77bjxt2/bE3b0pnTu34bnnbD93e/XqQnLyVapVa8j3309j/PgRANy8eYtx475h+PDPbOJLlnyczz//P1q1ep0aNZpRuvQTeHrWy7Wa8jOt9a9aa490P79mCFFZrZbhuQPwDNAYeB2YppR6/F7vmyudc8ucnCxprevmRg72VrvWy5w4EcupU2dISUlh8eKVtPFtYRPTxteLuXOXALB0aRBNPOtbXm/B4sUruX37NrGxZzlxIpbatV4GwNXVmdatmjJjxu8221odst76eNeuKNzcnO1e06LFK/HNUJNvNjX5+rZgUTY13dWkSX1OnjzNmTNxAGitKVasKADFixclPuF8jteUnYrulblwOpGLZ89jSrnDzoAIXvaqZRNzeNsBbt+8DcCJvUcpUaZUruX3IDw83Dl54jSxsWdJSUnB3z8AHx8vmxgfby/mz1sKwPLlwTRubP7zi44+SGKC+UxbTMxRChQogJOTEwA9enTi669+BMz76PLlpNwq6W/zcH+R4pY2lN+8VKMap2PPcvZ0HCkpdwhasZZmrWzPosWdTeBIzHFS83qiZQY1PV7i1MnTnLa0vWVLg2jlYzuy39q7GQsXmEeLV64IoWHjtJHK1j7NiI09y+FDaYMQRYsWoW7dWsydbT6+pKSkcO3qH7lQjX3qyWseHtUzHR+8fZrbxHh7N093fFhtPT789ddNTCYTAAULFECn63ps2bKTpCvJuVNEBvY45imlQCkKFy4MQNFiRUnIxc+iWrXcbT53lywJwNfXtiZfXy/mzfMHYNmyYGtH+8aNv9i6dRe3bt20iX/66XIcO3aKS5euALB+fQR+fq1yoRr706n2/XkA54Cy6Z67AfFZxKzUWqdorU8BRzB31rN13865UmqYUmqA5fG3Sqn1lsdNlVLzlFKvK6X2K6UOKKW+SLfen0qpT5RSO4A66V4vpJQKUUr1vRtn+bexUmqjUspfKXVYKTVfKaUsy1pbXotQSk1RSgVaXi+llFqrlNqrlPqFdN9glFIrlFK7LVfGvm15rbdS6tt0MX2VUpPu9zt4EC6uZTh7Lm1/nItLwMWlTLYxJpOJq1evUapUCVxcsljX1bzuCe7xlAAAIABJREFUpG/GMXzEeFJTs24lDg4OdO3agTVrNuREGZnyPZcur7i4BFwfsCZXl8zr3q3pri6d27Jo0Qrr8yFDxzDx81GcPLGLLyZ+zKhRn+d4TdkpUbokV+IvWZ9fSbhCidLZd74bdm7K/o17rM8dCzgxetUXjFr+OS971bZrrtlxcSnNuTjb37mzS+lsY0wmE9eu/ZHplK2fXyv2RR/k9u3bFC9eDIDRo4ewZWsgc+dN5amn8uTk1COvtPNTJMaldQIS4y9Q2vm+1w09FJydyxAXl2B9Hh+XiLOzbdtzdilN3LlEwNL2rv5JyVIlKFy4EAMHv82Xn39vE1++QlkuXbrCDz9/wcaIlXz3w2cULlzI/sVgn3rA/OV26YqZrA9fTs83u9i3iAxcXMpwLl1NcXGJmT+jXEpbY0wmE1fTHR88armzK3INO3aFMHDgSGtnPS/Z45h3584dBg0cxc5dIZw4uZPnnqvM7FmL7F+MNd8sPjsz1ZQWk11N6Z04cZoqVSpRvrwbRqMRX18v3Nxc7FPAf88u4Bml1NNKKSfgNWBVhpgVgCeAZXZHFeDkvTb6ICPn4UADy2MPoIhSyhGoDxwDvgCaAO5ALaWUnyX2MeCA1voVrXWE5bUiQACwQGv9Wxbv9TIwCKgKVATqKaUKAr8ArbTW9YEn08WPASK01i9j/mWUS7fsLa11TUvOA5RSpTBP1G9jyR/gTWDmA/wO7svyPcKG1voBYrJf17t1My5cuMSevfuzfd8fvp/A5s07iNiy8x9kfW/2qOkuR0dHfHy88F8aaH2t39s9GPrhWCpWqsXQD8fx6y/f/Jv0/54HqPWuOn4NqfBSJVb/utL62tC6/fikzUf8MmAyb4x+kyfLlc5yXXt6kP11vzqff/4ZPh0/nPffN89JdHAw4ubmwrZtkdSr68POHXuYMOERmq/4EMli12TbBh82D5J7du1z+MgB/PTDTK5fv2GzzMHBSHX3asyctoDG9dty4/pfDPqgX47mnR171APQqvlreDbwo3P73vTu25U69WplirGXf348N8dE7oqilkcLGjVoy5Ch/SlQwMk+if4N9jnmOdC3bzfq1vGmUsXaHDhwmKEfZp73bS//dj9lJTn5KgMGjGTu3KmEhflz+vQ57ty58++TfQjoVGXXn/u+v9Z3gPeANcAhYLHW+qBlcLqNJWwNcFkpFQNsAD7UWl++13YfpHO+G6iplCoK3AK2Ye7wNgCSgY1a64uWBOcDDS3rmYClGba1EpiptZ6TzXvt1Fqf01qnAlFABeA54KTlVABA+vkdDYF5AFrrICD9+fYBSqloYDvmUw7PaK2vA+sBH6XUc4Cj1jpTzzf9BQCpqdfv9buxijuXQNl030TdXJ0znQpLH2M0GilevBhXriQRF5fFuvHnqVvXA18fL44f3c78eT/i6VmP2bOmWOM+HjWYJ58sxdAPxz5Qjn9X3LkEm2/Xrq7OmaaaZFfTubjM6ybEp63bsqUne/fu58KFtNHq7t07sXx5MAD+/gHUqpV7F38lJV6mpEvaiHBJ55IkX7iSKa5qvZfwea8D3/X5nDu30w5uyRfMTe/i2fMc3n6Q8tWezrSuvcXFJeLmavs7v3va9q74dDFGo5FixYpyxXJK2sW1DL8v/IW+fT7g1KkzgHle5vXrN1i1yjzHedmyYKq7v5Ab5fznJMZfoIxr2pe6Mi5PcSHxYh5m9ODi4xNxdU2bWufiWobExMxtz9XNPFJrNBopVrwISVeSqelRnbGfDiPqwAbe6d+LwUPeoc/b3YiPSyQ+LpHdkdEArFwZwkvu1fJtPYB1G5cuXSEoIJSaNV/KlXrAPALrlq4mV9cymT+j4hKtMUajkeLpjg93HTlyghvXb1C12rP2T/o+7HHMe6l6VQDr82VLg3j11Zp2r+WuuKw+OzPUlD4mY03ZCQ5eR8OGbWncuB3Hjp3k+PHYHM/9v0prHay1rqK1rqS1/szy2mit9SrLY621/kBrXVVr/aLWeuH9tnnfzrnWOgWIxTzKvBXYjHl4vhJw5h6r3tRaZzzvtQVopbL62md2K91jE+ZJ9Pf76pLp66JSqjHQDKijta4O7AUKWhZPA3pxj1Hz9BcAGAyP3eftzXZFRlG58tNUqFAWR0dHOnduS0DgWpuYgMC1dO/eCYAOHbzZsHGL9fXOndvi5OREhQplqVz5aXbu2svIUROpUNGDylVepWu3/mzYsIWevQYA5gsxvZo3pmu3/9ltdC1jTV06tyUwQ02B2dQUGLiWLlnUdFeXLn42U1oA4hPO07CheQaUp2d9jh8/RW45FX2cpyo484TbUxgdHajtW5+9oZE2MeWqPU3PCf2Y0mcif1y+Zn29cLHHcHAy3y2nSImiPFPzOeKPncu13O/avTuaSpUrUL68G46OjnTs6EtQUKhNTFBwKF27dQCgXbvWbNpkvh67ePFiLFs6kzGjv2T79t026wQHh9Gw4asAeHrWy3RxssgZ+/fGUOHpsriVc8HR0QFvPy/CQjJfUPgw2rN7PxUrVaCcpe217+BNSFCYTczq4DBee8N8EWRbv5Zs3rQdAO8Wb+D+gifuL3jy84+z+Pabn5n26zwuXLhEXFwClZ8xf9Ft1KgORw4fz7f1FC5ciCJFzJ8nhQsXwrNpfQ7FHM2VegB2796X6fgQHLTOJiY4eF2640MrNm3aBmCdDgFQtqwrz1SpyJnTuX+My8gex7z4+ESee/4ZnniiJABNmtbPtXYHEBkZbfO526mTL4GBtjUFBobSrVtHANq3b83Gjfe/r8aTT5qnaT7+eHHefrs7M2f+fp818oeHYM65XTzo/ffCgaHAW8B+YBLmEfXtwGTLHJokzFehZp5ol2Y08DHwI5D5nkdZOwxUVEpV0FrHAukn6oUDXYHxSqlWwN1JV8WBJK31DcsI+at3V9Ba71BKlQVqADk2bGEymRg4aBTBQQswGgzMmr2ImJijjB0zlMjd0QQGhjJj5kJmz5rC4ZgIkpKSeaOb+VRZTMxR/P0D2B+9gTsmEwMGjsx2jvldP06dyOnT54jYbJ7atGJFMOM/m5xT5djUFJShpjFjhrI7XU2zZk3hkKWmrulqWuIfwL4saipUqCDNmjakf/+PbN7v3Xc+ZNKkT3BwcODmzZu8++6wHK3nXlJNqcwfPY0hcz7GYDSwefF64o+dxW/wa8TuP07Uukg6j+hBgcIF6f/jEAAux11iSt+JuFR2o+eEfqRqjUEpgn5aTvzx3P/gMplMDPlgNCtXzcFoNDJnzmIOHTrGqI8Hs2fPfoKD1jF71mKmTZ/Evv0bSUpKpmeP9wHo904PKlYqz/ARAxg+wvwFsI1vdy5evMzHoyYybfokvvxyNJcuXaFfvw/vlUae+nDMRHbt3Udy8jWa+nWjf+/udMhwEfPDymQy8cmIr5i++HuMBiP+v6/i+JGTDPioHweiDrF+TTgvuldl6uyvKFa8GJ5eDRgw7G28G+Tu3OXsch82dBz+K2ZgNBiZP9efw4ePM2LkQPbu3U9I8HrmzVnCz799TWTUOpKSkunz5uD7bvejoZ/yy7RvcHJyJDb2LO+9mzu3KbVHPU8+9QRzF0wFzFMn/BcHELZuc26UA9w9Poxhxao5GI0G5s5ZksXxYRHTpn9L9P4NJCVdpZfl+FCnbi2GDHmHlDt3SE1NZfCgj60Xhs+c9R0NGr5KqVIlOHJsK5+Nn8yc2YtzsaacPeYlJlxgwoTvWLN2MXdSUjhzNo5+bw/NlXru1jRo0McEBMzFaDQye/YiDh06yujRH7B7936CgkKZNWsRM2ZM5uDBcK5cSaZHj/es6x85soWiRYvi5OSIr28LfHy6cfjwMb75Ziwvvmg+KzBhwuRcHfwSf596kFFXpVRTIAR4XGt9XSl1FPhZaz1JKfUG5v/5SAHBWuthlnX+1FoXSbeNWMzTYS4DM4CLWuthd+Mso91DtdY+lvgfgEit9SyllC/wFXAJ2AmU1lp3tcwj/x14AtgEtAdqAn9gnoDvivmq2CeBsVrrjZZtDwfctdav3a92ByfX/DHp8wHdfwZV/tPN5dX7B+Uziy/svn9QPpN8Zv39g/KZas93zusUctSlm1fzOgXxAG6bHo35wunpzCfB8zXTfQbY8qubN888VN2IuDpN7NpwXLetz5N6H2jkXGsdBjime14l3eMFwIIs1imS4XmFdE/fzBhn6ThvTPf6e+niN2itn7NMh5kKRFpiLgPp7zGUfujiXvcJqg98e4/lQgghhBBC5Lr88j+E9lVKRQEHMU9Z+eWfbEQp9bhl1P8vyxcOIYQQQgiRD/3X55znKa31t+TASLfWOhnz/SWFEEIIIUQ+9iC3O8yP8svIuRBCCCGEEI+8fDFyLoQQQgghRHr55P9p+9tk5FwIIYQQQoiHhIycCyGEEEKIfEfmnAshhBBCCCHsSkbOhRBCCCFEviMj50IIIYQQQgi7kpFzIYQQQgiR78jdWoQQQgghhBB2JSPnQgghhBAi35E550IIIYQQQgi7kpFzIYQQQgiR72gtI+dCCCGEEEIIO5KRcyGEEEIIke/o1LzOwD6kc34fRZ0K5XUKOe7GnVt5nUKOmhe/Pa9TyHFFCxTO6xTEAzh4aHFep5Djnn2uQ16nkKOM6tE7QbyzYdG8TiHHNYi4mdcp5Ki2hSrmdQoiH5PO+X/Mo9YxF/lHtec753UKOepR7JgLIUR+kipzzoUQQgghhBD2JCPnQgghhBAi35G7tQghhBBCCCHsSkbOhRBCCCFEvvOo/g+h0jkXQgghhBD5jtZ5nYF9yLQWIYQQQgghHhIyci6EEEIIIfKdR3Vai4ycCyGEEEII8ZCQkXMhhBBCCJHvyH9CJIQQQgghhLArGTkXQgghhBD5jvwnREIIIYQQQgi7kpFzIYQQQgiR78h9zoUQQgghhBB2JSPnQgghhBAi35G7tQghhBBCCCHsSkbOhRBCCCFEviN3axF/S9NmDdm5Zy27o8MY9EG/TMudnJyYPvs7dkeHEbrBn7LlXG2Wu7k5czYxmvcG9LZ53WAwsGnLKhYu+dWu+WfFq3lj9u/bSMzBzQwd2j/TcicnJ+bN/ZGYg5vZHL6K8uXdAChZ8nHWrFnE5UuHmfztpzbrrF27mP37NrJzRwg7d4Tw5JOl7FuDV2MOHAjnUEwEH374vyxrmD//Jw7FRLAlIsBaA8CwYe9xKCaCAwfCad68kfX1Y0e3s3fPOiJ3rWX7tmCb7f2v/5scOBBOVNR6Pv98pP0Ks2jarAE79qwhMmodAz94O9NyJycnps+aTGTUOkLXZ253rm7OnEmIsra7ys88zaYtq6w/p+P28k7/Xnav40E0aFKHkG1LCd25nLcH9My03KPOyywPm0dMwnZa+DbNgwz/vVETJtHQ+zX8ur2T16ncV8MmdVm3fTnrd67knQFvZlru5OTIlGkTWb9zJcvWzMG1rDMADg4OfPXDJ6wOX8zarUt5d+Bb1nV6vf06qzcvISTCnzf7vZFrtYC5fa3ZtpR1O1fw9oBemZY7OTky+bfPWbdzBf4hs631ODo6MHHKGAI3LWLVht+pXbemdZ15K35hzbalrNqwgFUbFlDyiRK5VU4mDu61KTZlDsV+mE+Bdln/bh3rNqbY5FkUmzyTxwaNsl1YqDDFf11CoT4DcyHbB1PP81UCtiwiePsSer/fPdPymq+6szh0NlFxETT38bRZ9vPv37L1aChT532dW+k+kGcavcSgsK/5YOMkGr7rm2l57a5NeT9kIu8FT6DvkjE8Wdl8TC/0eBF6/z6S0Qdn4DuuVy5nLf6th2LkXCnVC1irtY63PI8FPLTWl3L4fYKBu0ehN7TWP+bk9u8yGAx8NWks7dr0JD4ukfXhy1gdHMaRw8etMd17duJq8lVqVm9K+47ejP10GL17ph3kPvtiJOtCwzNt+53+vTh65DhFixaxR+rZMhgMfPfdeFp7v8G5cwls3RJIYGAohw8fs8a82es1kpOTqVqtAZ06teGz8f9Ht+79uXnzFuPGfU21qs9Srdqzmbbds9cA9uzZlys1TPnuM1q1fp1z5xLYvi2YwMC1HDqUVsNbb75OctJVnq9an86d2zBhwki6dn2X559/hi6d21LdvQkuLqUJWb2QqtUakJqaCkCz5p24fDnJ5v0aNaqLr28LatRoxu3bt+3+xcNgMPDlN2Np37YX8XGJhG1aSkjQeo4cSWt33Xp0JDn5Gh7uzWjfwZuxn3xI716DrMsnTBxJWLp2d/zYKRrVa2Pd/sGjEQQGrLVrHQ/CYDAwZuJHvNnpfyTGn2fp2jmEhYRz4ugpa0zCuUSGvz+W3v0zf0jnF36tm/NGhzb836cPV4chI4PBwLgvhtOj47skxp9nReh81oVs4vjRk9aYzl39uJb8B01qt8WnXQs+GjOQAX2G07ptM5wKONGqYWcKFirI2i1LWbVsNY89Vpgu3dvTzqs7KbdTmLV4KhtCI4g9eSZX6hk7cTi9OvW3tK+5rA/ZxPF07atjVz+uJV+jWW0/vP28+HD0AAb1HUHn7u0A8GnUhZJPlGD6wu9p37w72nJbiSHvjOJA9CG713BPBgOF+w7kz0+Gknr5IkW/+JmUXVtIPXc6LcTZlYLtuvLHyPfQ1/9EFXvcZhOFXn+LOzHRuZ15tgwGA6MmDqVv5wEkxl9g0ZqZbFizmZNHY60xCXHnGTXwU3q9m/nLyMwf51OwUEE69/DLxazvTRkUvp+8ycxun3Mt8TLvrhrPodA9XDweZ42JXrmVnfPDAHiuWQ1af9yN2T2/4M6tFNZ940/pZ90oXaVsXpVgd3K3FvvqBbjkxIaUUtl+4dBat9ZaJwOPA5mHfnNITY/qnDx5mtOxZ0lJSWGZfxCtvZvZxLTybsbv85cDsHJ5CI0a17Eua+3TjNOnznI4XacRwMWlDF4tGzNn9mJ7pZ6tWrXcOXEillOnzpCSksLiJavw9fWyifH19WLuPH8Ali0LwtOzHgA3bvzF1q27uHnrVq7nnV7tWi/b1LBo8Up8fVvYxPj6ejF37hIAli4NoolnfcvrLVi0eCW3b98mNvYsJ07EUrvWy/d8v379evDlV1O5ffs2ABcvXrZDVWlqerzEqfTtbmkQrXxsR4xbezdj4YJlAKxcEULDDO0uNjZzu7urUeO6xJ46w7mz8fYr4gG9VKMap2PPcvZ0HCkpdwhasZZmrRrZxMSdTeBIzHFSdWoeZfnvebi/SPFiRfM6jfuqXuMFTp9K2x+By9fQvFVjm5hmrRqzdGEAAKtXraNug9qA+cO1cOGCGI1GChYsQEpKCn/+cZ1KVZ4mavd+bv51E5PJxI6tu/Hy9sz41naRVftqmqmeRixbFAhASEAYdSz1VH62IlvDdwJw5VIS167+wYvuVXMl7wdlrPwcqYlxpJ5PgDt3SIlYj1OtejYxBZr5cCtkBfr6nwDoa8lp61esgqF4SVKiI3M173t5sUZVzpw6x7nT8dxJucPqFaE0adnQJib+bAJHY46Tmpq5R7djcyQ3/ryRW+k+EDf3ylw5fZ6ksxcwpZjYF7CN571q2sTc+vMv62OnwgWsvdWUv25xOvIIKbdScjVnkTP+UedcKTVMKTXA8vhbpdR6y+OmSql5SikvpdQ2pdQepdQSpVQRy/LRSqldSqkDSqlflVlHwAOYr5SKUkoVsrzN+5b19yulnrOs/5hSaoZlG3uVUm0tr/eyvE8AsFYp5ayUCrds74BSqoElLlYp9QQwEahkWf7VP//1Zc3ZpTRx5xKsz+PjEnF2KW0T45IuxmQyce3qn5QsVYLChQsxcHA/vvj8+0zbnfDlKMaM+iLLA4u9ubiU4ey5tE5ZXFwCri5lMsWcs8SYTCauXfuDUqXuf9r2t1+/YeeOEEaMsO/pURfXtPwgmxpc0+o0mUxcvXqNUqVK4OqSeV0XV/O6WmtWB//Oju2r6dO7qzWmyjMVqV+/NlsiAghb549Hzer2LA9n5zLExWVod8627c7cNhOBrNrd23yZRbu7q31Hb5YuCbRP8n9TaeenSIw7b32eGH+B0s5P5WFG/21lnJ8iIT5tfyTEn6e085M2MaWdnyIhLq3t/XHtT0qUfJzVq9Zx48ZNth8MJSJqNb9NncPV5GscPXSC2nVq8HiJ4hQsVJDGzerjnOHv1a712LSvLOop86S1DZpMJv601HP4wFGatWqM0WjErZwLL1R/HmfXtL/DiVPGsmrDAv73QZ9cqSUrhpJPknrpovV56pWLqFK29RlcymJ0caPoZ99T9PMfcXA3f/lAKQr17M+NOT/lZsr39VSZJ0mMv2B9fj7+Ak+VefIeazz8ipUuwdX4tEGdawlXKF66ZKa4V7o354NN39Ji+BsEjp2TmynmuVSt7PqTV/7pyHk40MDy2AMoopRyBOoD+4FRQDOtdQ0gEvjAEvuD1rqW1voFoBDgo7X2t8R01Vq7a63vfg28ZFn/J2Co5bWRwHqtdS3AE/hKKfWYZVkdoKfWugnmqStrtNbuQHUgKkP+w4ETlvf7MGNxSqm3lVKRSqnIWynX/vYvR6nMO1RnPPeSTczwkQP5aepMrl+3/QbfoqUnly5eJjrq4N/OJyc8SE1ZhGSuO4NevQZQ06M5TZp2oH692nTt2uFf5XkvD1ZDVjH3XrdRYz9qv9ISH99uvPtuL+rXfwUAo4OREo8Xp159X4YPH8+CBT/nRBnZepDff3Z1DB85gJ9+yNzu7nJ0dKRl6yasXL46R3L9t/5JWxN2lOX+yBCSTdurXqMaqSYTdV7wolFNb/r0707Z8q6cOHaKX6bMYs7Sn5i1eCqHDx7FZLpjpwIy+MfHCo3/glUkxp9n+bq5jBw/hD27orlzxwSYp7T4NOrC6z598Hj1Zfw6e9sn//vJqs+RcYcZjBic3fhj9CCuf/sJj/X/EFW4CAVa+pGyZzv68sUsNpJ3stwfeZBHTnqgvgSwY24okxoNZs3E32n8/sMzLUf8c/90zvluoKZSqihwC9iDuZPeAFgFVAW2WBqWE7DNsp6nUmoYUBgoCRwEArJ5j2Xp3qu95bEX0EYpdbezXhAoZ3kcqrW+Ynm8C5hh+cKwQmudsXN+T1rrX4FfAUoUqfy3/77j4xJxdXO2PndxLUNiwoUsY+LjEzEajRQrXoSkK8l41KpOW7+WjPt0GMWLFyM1NZVbt27j7Fyalq2b0tyrEQUKFqBo0SL8Mu0b+vUZ8nfT+0fi4hIo65Y288jV1Zn4hPMZYhJxc3MhLs5SU7GiXLmSnHFTNuLjzSNpf/55nYWLVlDLw53585fmfAFA3LkE3O5XwzlznXFxCRiNRooXL8aVK0mci8u87t2RwgTLNi5evMyKlaupVcudiIgdxJ1LYPkKc2d2V2QUqampPPFESS5duoI9xMcn4uqaod0lZtXuymRqdzU9qtOmbUvGpmt3N2/eYtqv8wBo5tWQfVExdp+a86AS4y9QJt1oZBmXp7iQ+HB1Fv5LEuMv2JwddHYpnWl/JMafx9lyLDQajRQtVoTkpKu06dCKTWFbuXPnDpcvJbF7RxQvulfl7Ok4Fs9fweL5KwAYOvI9EuNt/17tV895m9HuMi6luZBoewlUYoK5Dd6tp4ilHoAJH0+yxi0KmsFpyzz585bfyfXrNwhYFsJLNaqxYnGQvcvJJPXyRQxPpI0qG0o+ib5iW5++fJE7x2LAZCL1QiKmuDMYnF0xVqmK4/MvUaClH6pgIZSDA9z8i7/m5f5NCtI7n3CBMi5pZ89KuzzFxXx+TLiaeIXiLmnXKhVzLsm1C0nZxu8P2Ebb8W9hn0/Qh5PcrSUdrXUKEAu8CWwFNmMeya4EnMLcUXa3/FTVWvdWShUEfgQ6aq1fBH7D3LnOzt0JyibSvkQooEO6bZfTWt+9suZ6uvzCgYZAHDBXKdXjn9T5T+3ZvY9KlcpTrrwbjo6OtO/ozergMJuYkOAwXu9qvnCobbuWhG/aDkBrr9epXq0x1as15qcfZzHp65/47Ze5fDL2a154tj7VqzWmd69BbN60Ldc65gCRkdFUrlyBChXK4ujoSOdObQgMDLWJCQwMpXu3jgC0b+/Nxo1b7rlNo9Fonfbi4OBA61ZNOXjwiH0KwNxBrlz5aWsNXTq3JTDQ9uLGwMC1dO/eCYAOHbzZYKkhMHAtXTq3xcnJiQoVylK58tPs3LWXwoULUaSI+eRN4cKFaN6skbWGVavWWOfdP/NMRZycnOzWMQfYs3s/FStVSGt3HbwJCbJtd6uDw3jtDfN33bZ+LdlsaXfeLd7A/QVP3F/w5OcfZ/HtNz9bO+YAHTr6sNT/4ZjSArB/bwwVni6LWzkXHB0d8PbzIiwk8wXUInfs23uQChXLWfeHT7sWrAvZaBMTFrKJDq+Z7zbRqk0ztm3eBUD8uUTqNqgFQKHCBXH3eImTx2IBKGW5m4mLaxla+DRh1bKQXKkn6/a1KVM97bv4ANDStynbI8z1FCxUkEKFzR9t9Rq9gslk4vjRUxiNRkqUNF9U6eDggKdXfY4dOpEr9WRkOn4Eg7MbhqfKgIMDjvWbcDtyq03M7Z0ROFRzB0AVLY7RpSyp5xO48d1nXH2nC9fefY2/5vzErU1r87xjDnBg7yHKVSyLazlnHBwdaOXXnA1rNud1Wv9KXPQJSlUoQwm3JzE6GnnJtw6HQ3fbxJSqkDbV69kmL3M5NjG30xR28G/u1hKOebrJW5inskzCPMq9HZiqlKqstT6ulCoMuAF3h/AuWeagdwT8La/9ATzIVU9rMM9Ff19rrZVSL2ut92YMUkqVB+K01r9Zpr3UANJPxHrQ9/tHTCYTw4aMY+mKmRiNRubPXcLhQ8cYMWogUXsOsDo4jLmzF/PztG/YHR1GUlKyzR0zHkYmk4lBgz4mMGAeRqORWbMXcejQUUaPHsKe3fsIDApl5qyFzJwxmZiDm7lyJZnuPdJuVXjkyFaKFS3IihlRAAAgAElEQVSKk5Mjvr4t8Pbpypkz5wgMmIejoyNGo4H16yOYPmOBXWsYOGgUQUELMBoMzJq9iJiYo4wZM5Tdu6MJDAxlxsyFzJo1hUMxESQlJdO1m/m64ZiYoyzxD2Bf9AbumEwMGDiS1NRUSpd+Ev8l0wHzNJaFC1ewdu1GAGbOWsi0375h794wUm6n8FZv++5jk8nEsKHj8F8xA6PByPy5/hw+fJwRIweyd+9+QoLXM2/OEn7+7Wsio9aRlJRMnzcH33e7hQoVpHGTegwe+LFd8/87TCYTn4z4iumLv8doMOL/+yqOHznJgI/6cSDqEOvXhPOie1Wmzv6KYsWL4enVgAHD3sa7QZe8Tv1v+XDMRHbt3Udy8jWa+nWjf+/udMhwEfPDwGQyMXb4F8xe8iMGg4ElC1Zy7MhJBg1/l/1RMYSFbGLR/BVM+nE863eu5GryNQb0HQ7A3BmL+HLKOEIi/FFK4f/7Sg7HmC9K/nHm1zxe8nHupPw/e3ceF1X5PXD888wAKu47i/tWqSkmWpoprqW4pmW5W1Zqft0tzVLLNDM1KzM1K/dyFxdEAfctFQXNBTdQ2VVAc0lh5v7+GAQGULGYGYbfefvi9eLOPXc4xwszz5x57jPJTPxoGrdu/m21ej4fN51fV81J+f3y4ULoJYZ9PJCTwafZsW0Pq5f7MGPuZAIObyAx4SYj3v8EML2g+HXVHDSjRkx0HKMHm/5unPI58uuqOTg4OKDX6ziw5zArl663Sj2ZGA3cXfgdhT77BnQ6HuzYivFqOPnf6o/hQihJRw+QHHwYRw9PisxeBEYjd5fMQ7v99NM8rcVgMDB13Azm//Eder2O9b9v5mJoGB9+9B6nQs6ya9teans8x+zfvqZIscJ4tWnCh2Peo3Mz08oti33mUblaRZwLFiDg+EYmjJjCgV1/2rQmo8HIpgmL6LdkLEqv49iqXcSdj6TliG5EnrzE2YBjvNS3DVVfro0xOZl7N++wZlTatQCj931HvkIF0Ds68Fyb+vzWe5rZSi95QV79hFD1b+dpKqVaAn5AMU3T7iilzgHzNE2bpZRqAXwN5EsJ/1TTtI1KqS+BtzB13a8ClzVNm6SU6gpMBe5hmjt+hpSlFJVSnsAMTdO8Ui4WnQ00xtRFD9c0rX3KUoyemqYNScmtLzAGSAJuA300TQtLv0SjUmoFUAfYmtW884f+zbSW3Oxusm1XTLGEh8sZ5iWF8znbOoUcVyp/UVunkKNOnbH+qknW8Myzlrvuwxb0KrcsSpZzDjfN/Sv4PK1X9v1j6xRyVKcCVWydgkVMCV+Rq0bDf7q9btEx2otR62xS77/unGuaFgg4ptuuke77HUCDLI75FNPFohlvXwtm06Qqpdt3FPBK+f4ekOkTfTRNWwQsSre9GFicRVz6+7XuJ1oIIYQQQogck6e6p+nkig8hEkIIIYQQ4mnk1Wktee/9PiGEEEIIIeyUdM6FEEIIIYTdkaUUhRBCCCGEEBYlnXMhhBBCCGF38t5abSbSORdCCCGEECKXkM65EEIIIYSwOxoy51wIIYQQQghhQdI5F0IIIYQQdseYRz+FSDrnQgghhBBC5BLSORdCCCGEEHbHKHPOhRBCCCGEEJYknXMhhBBCCGF3ZLUWIYQQQgghhEVJ51wIIYQQQtgd+YRQIYQQQgghhEVJ5/wJphR/ydYp5Kjz+mRbp5Djfoo5YOsUcpxBy3v9gOv/3LR1CiIbQs+utXUK4gka1+ln6xRynEbeWrB6/Igitk7h/4W8OudcBudCCPEvPPNsV1unkONkYC6EELYng3MhhBBCCGF38t57zCYy51wIIYQQQohcQjrnQgghhBDC7uTVzrkMzoUQQgghhN3JqxeEyrQWIYQQQgghcgnpnAshhBBCCLtjzJuNc+mcCyGEEEIIkVtI51wIIYQQQtgdo8w5F0IIIYQQQliSdM6FEEIIIYTd0WydgIVI51wIIYQQQohcQjrnQgghhBDC7uTVDyGSzrkQQgghhBC5hHTOhRBCCCGE3TEqWa1FCCGEEEIIYUHSORdCCCGEEHZHVmsR/1p5rzq8vesbeu6dSb3BHTLtr9WrBd39v+JNvyl0WfsZxau7AVC9c2Pe9JuS+jXo8hJK1qxg7fSz9GyzuowLnMUnu2bTclDHTPubvduOj/1nMGbr1wxa/inF3Uul7ms/tgcfbfuGj7Z9g0f7RtZM+7Fat27GiRM7OXVqD6NHD86038nJiaVLf+TUqT3s2eNDxYrlAGjZ8hUOHNjC0aPbOXBgC15eja2deqqWrZpy9Jg/x0N2MGLkB5n2Ozk58dvi7zkesoPAnWupUMEdgBfq12HvgU3sPbCJfQc3075DGwCqVa+cevveA5u4GhXMoMH9rFkSLVu9wp/HtnE0OIBhI9/PtN/JyYlfFs3maHAA/jvWUD6lpofcy7lyJTqYIUPfTb2tSNHCLFr6A4eC/Dh01I8GDT0sXkd6TVs0JuDQenYc9mHg0P6Z9js5OfL9wmnsOOzDum1LcC/vCoCDgwPfzPmCrXtWsf3AWgYNeyf1mH7vv83Wvavx27eG/h/0sFotT+vTqbNo6v0WnXsNtHUqOcYea2rk1ZA1e5exbv8K+g7pmWl/vRfrsnTbQg5e2UEL72aZ9hcs5MyWoLWMmTLcGulmS5PmL7F5/yq2HlrDgP/1ybS//kserPZfTEjkftq0b2G2b/7vszl4LoAfl820VrrZoqtYk/x9JpG/7xc4eL6aab9j0zfI32O86avP5xQYOMt0XLkaabf3GE+BD39AX6WutdMX/1Ku75wrpYoBPTRNm2vrXP4NpVM0/bIvm3pM43Z0PN02f0G4fxAJ56NSY85tOMipZTsAqNT6BV6e0IvNvadzfsMBzm84AECJZ8vRduFIbpy+YpM60lM6Rdcv3mFerykkxtxgxMap/OUfROyFyNSYyNPhzOrwCUn/PKBxr9Z0GNeTJUO+o2bzepSrVYkZ7T7GwcmRISsncGZXMPdv37NhRaDT6fjuuy/x9u5JREQ0+/dvYvNmf86ePZ8a069fdxITb1KrVlPeeKMDX345jt69P+T69Xi6dn2H6OhYataswaZNy6hataFNapg5axKdO/YlMjKGnXvW4+sbSOjZC6kxffq+QWLiTerVbUHXbu35fPLH9O87lDOnz+H1SmcMBgNly5Zm/6EtbPUN5ML5MF5p3CH1/s+eP8DmTdutWtP0mZN4vVM/oiJjCNy9Fr8tOwgNTaupV59uJCbewtOjFa939WbSF2N4t1/agGHqtPEE+u8xu9+vpn9KYMAe+vX+H46OjhRwzm/Vmj7/eix9ug0iJiqWDf7LCfDbzYVzl1Jj3uzZmVuJf9OiYSfad3mVjycOY+iAsbTr1AqnfE60bfom+QvkZ/v+tWxct5WCBZ3p3vt1urTpTdKDJBat+pGd/vsIv2T7x4uMOrdrTY+uHflk8gxbp5Jj7K0mnU7HR1NHMOStkcRGX2Ox7wL2bNtH2PnLqTExkbF8PnwqvQa+leV9DPxoAMcOBVsr5SfS6XSMnzaG9978H7FRcazctoid2/Zy8VxYakx0ZCzjh02m36DML0Z+nbuMAgXy80afLtZM+/GUwsnrbe6v/w7tdgL53xqH4dIJtPjo1JCkPatJSvneoa4XutLlATBGnOOfFVNMO/I5U6DfZAxXTlu5AMuT1VpspxiQuY1pJ8p4VOVmeCy3rlzDmGTgwsZDVG5T3ywmKd3A1ME5H5qW+Y2a6p0ac2HjQYvnmx0VPKpx/XIMN67GYUgycHzTAWq38TSLuXDwNEn/PADg8vHzFHMpAUDZ6u5c/PMMRoORB/fuE3nmCs81s/2r+QYNPLh4MZywsCskJSWxevUmOqR0jx/q0KENy5atAWDdOl+aN38ZgJCQU0RHxwJw+vQ58ufPh5OTk3ULAOp71uXSpcuEh18lKSmJdWs24+3dyiymnXcrVixfB8CG9Vtp5mV65+LevX8wGAwA5M+f9e+gl1djwi5d4erVqEz7LKW+Zx3CLl3m8sOa1m6hbfuWZjHtvFvxxwpTTT4b/GjqlfZuTLv2rQgPv8rZM2kvsgoXLkTjxg1Yung1AElJSdy6+bcVqjGp+0JtLodd5erlSJKSktm8fhut23qZxbRq68XaPzYBsHVjAI1fMb3Y0zRwds6PXq8nf/58JCUlcfvvO1StUZngoJP8k3Ie/zwQRBvv5lar6Wl4ejxP0SKFbZ1GjrK3mmrVe46r4ZFEXokmOSkZf59Amr3axCwmOiKGC2cuoRkzPxY8+3wNSpQuzp+7j1gr5Sd6/oWaXA2LIOJyFElJyfhu8Kf5a03NYqKuRnPu9AU0Y+Yh3Z97j3Ln9l1rpZsturKV0G7God26DkYDyeeOoK9S55Hx+hoNSD53NPPt1V/AEH4KkpOyOErkRvYwOJ8GVFVKBSulvlFKjVFKHVFKnVBKfQ6glKqklDqrlFqolPpLKbVcKdVKKbVfKXVeKdUwJW6SUmqpUmpHyu3vWTr5gi7FuR0Vn7p9Ozqegi7FM8XV7tuKnvtm0viTt9g3YUmm/dU6vMh5n9wxOC9WtgSJUTdSt29Gx1O0bIlHxr/4ZnPO7DJ1WKLOXOE5Lw8c8ztRsHhhqjeqSTHXkhbP+Unc3FyIiEgbdEZGRuPmVvaRMQaDgVu3/qZkSfNz2aVLO0JCTvHgwQPLJ52Bm1tZIiPSOiqRkTG4ZqjB1c0lNcZgMHDr5t+USKmhvmddDh3ZyoE/fRkx7LPUwfpDr3drz5o1myxchTlXVxciI9NqioqMwdU1Y01liYyIAR7WdJsSJYvj7FyAYSPeZ/pXP5jFV6xUnuvX45kz72t27fPhuzlTcHYuYPliUri4liE6KjZ1OzoqlrKupc1iyrqWIToyraa/b92meIlibN0YwN27/3DolD/7grfy849LuJl4i3NnLtKw0QsUK16U/AXy49WqCa5uLlarSdiX0i6liI2KS92Ojb5G6Qy/g4+ilGL4xA/5fvJPlkrvXynrYv53FRsVR1mX7NWUW6lCxdH+Tkjd1m4nogplHj8AqMIl0BUthfHq2Uz7HGp4knwu97yQyklGZdkvW7GHwflY4KKmaR6AP1AdaAh4APWVUg9fGlcDvgPqAM8CPYAmwGjgk3T3VwfwBhoBE5RSbpZMXmWxzE8WTUn+WhzA8iajOPjVH9Qf2tlsXxmPqiTfe0B8aISl0nw6Wf3CZlUUUL9zE8rXqcKOBaZBXejeE5zeeZxh676g9/f/I/zYeYwG278xlfV50p4q5rnnajBlyjiGDBmX8wlmQ3Z+17JadephDUFHQ3ipQVuaN+vCyFEDyZcvrfvv6OhIO++WbFjvm6M5P8nj8k2Lyfq8jB0/lJ/m/MadO+bdMAcHPXU9avHbwhV4NenE3Tv3GJ7F/HyLybKmDCGPqKnuC7UwGgw0qt2GZvW9GTC4N+UrunPxfBjzv1/EkrU/sWjVj5w9dQ6DIdlCBQh7l53Hu0fp1q8L+3ccMhvc5wpZ/V3lxcsFH3Ge9DU8ST5/LPN+5yLoSrpjvHzKCsmJnJLr55xn0Cbl63jKdiFMg/UrQJimaScBlFKngEBN0zSl1EmgUrr78NE07R5wTym1E9NAf0P6H6KUeh94H+DtYg1pUqj6v074dnQ8hdzSusqFXEtwNzbhkfHnfQ7RdIr5BWLVO72Ua7rmAIkx8RRzS+t2F3Utwc24zDXVeLk2rYd0YU73zzE8SBsoBPy4gYAfTf/lvb77H9fCojMda22RkdGUK5f2Os3d3ZXo6LgsYyIjY9Dr9RQpUpj4+MSUeBdWrVrAu++O4NKly9hCZGQM7uVcU7fd3V2IiY41i4lKiYmKSqmhaGESUmp46FzoRe7cvUfNms9w/PhJAFq3aUZI8Cmuxd3AmqKiYnB3T6vJzd2FmBjz82KqySVdTYVIiE+kvmddOnZ6jUmTP6Jo0SIYjUb++ec+Gzf4ERUZQ9DREAB8fPysOjiPiYoze0fD1a0scTHXMsTE4uruQkx0HHq9nsJFCpGYcJOOXduyO/AAycnJ3LieQNCfwTzvUZOrlyNZtXwDq5ab/q5Gjx9CTJT5uRfiobjoa5R1K5O6Xda1NNdjrmfr2Dr1a+HxYh269e2Mc8ECODg6cu/OPeZMnW+pdLMlNtr876qsWxnisllTbqXdTkAVTuuUq0LF0O4kZhnrUMOTB7v+yPJ2w8VgyGIqT15gzLJbaP/soXOengK+0jTNI+WrmqZpv6Tsu58uzphu24j5i5CMLzszvQzVNG2BpmmemqZ5/peBOUBcyCWKVnKhcPnS6Bz1VOv4EmH+x8xiilZKe0Cp2NKDm+ExaTuVoqr3i7lmvjnA1ZCLlK7kQolypdE76qnXoTGn/IPMYtxrVeKNqe+xcMA33L5xK/V2pVM4FysEgOuzFXB7tgKhe09YNf+sHD0aQrVqlalUqTyOjo688UYHNm/2N4vZvNmfXr26AfD66+3Ytct0sW7RokVYv34Rn332NQcPZp7vZy3Hgk5QtWolKlYsh6OjI693a4+vb6BZjK9vID16vg5A5y5t2bPb9HtVsWI59Ho9AOXLu1G9emUuX0l7p6bbGx1Ys9q6U1oAjgWdpErVSlR4WFNXb/y2mNe01TeQt3qYaurU+TX27j4EgPerPfCo3RyP2s2ZN3cR386cx8IFy4iLu05kZDTVqlcGoFmzRmYXzVraieOnqFSlAuUquOHo6ED7Lq8S4LfLLCbQbzdd3zJdiNu2YysO7jW9JR0VEUPjVxoAUMA5Px6edbh0PhyAkqVMT+Ju7i682r4FG9f5WacgYXdOB5+lQuVyuJV3xcHRgdadWrJn+/5sHfvZkMl0aPAGnV7szndfzMV3zTabD8wB/jp+hgpVyuNewRVHRwfadW7Nzm17nnxgLmaMvYwqVgZVpCTo9DjUaIDhUubnS1WsLOQviDH6UqZ9+jw8pSW3UEq9ppQKVUpdUEqNfUxcN6WUppTyfFTMQ/bQOf8beHilzTZgslJquaZpt5VS7sDTXuHQSSn1FVAQ8MI0bcZiNIORvZ8tpsOyj1B6HWdX7ibhXCQNRnXl2okwwv2P8Xy/NpRrUgtjsoH7N+8QOCLtgc7txWe5HR3PrSvXHvNTrMtoMLJ2wm98sOQTdHodf67aScz5CF4b8QZXT17iVEAQHcf1JJ9zPvrNNa2akRB5nV/em4He0YH/rZ4EwD+377FsxJxcMa3FYDAwfPhnbNq0FL1ez+LFKzlz5hwTJowkKOgkW7b4s2jRSn79dTanTu0hPj6RPn2GADBoUF+qVq3EuHFDGTduKADt2/fi2jXrdpkNBgOjR33Oug2L0Ot1LFu6hrNnzvPJp8M5fuwkW30DWbp4FQsWzuR4yA4SEhJ5p98wAF5q5MmIUR+QlJSMZjQyasRE4m+Y3g0pUCA/zZu/zPCh461az8OaPhr9OWs2/Ipep2f50jWcPXuBceOHcfz4Sfx8d7BsyWrm/TyDo8EBJCQkMqD/iCfe78ejJzN/4UycnBwJD7/KkEEWfRgwYzAYmDT2axavnotOp2P1Ch/Oh15i+NhBnAw+TaDfblYu38CsuV+y47APNxNvMfQ9U35Lf13J9O8/x2/fGpRSrPndh7OnTRe7zv1tBsVKFCM5KZmJH02z6kWuT2PMxGkcOX6CxMRbtOzci8Hv9qZrh8xLxNkTe6vJYDAwffxsvl8xA71ex8Y/fLl0LpwPxrzDmZBQ9mzfT826zzL9ly8pUqwwTVo35oPR79C9eV9bp/5IBoOBKeNmsOCP79Hpdaz/fRMXQ8MY8tH7nAo5w85te6nt8Rzf/TadIsUK49XmFT4c8x6dmr0NwBKf+VSuVhHnggUIPL6JCSO+ZP+uP21blGbkwa6V5Os8FJSO5NMH0OKjcXypA8bYyxjCTAN1h2caYMhiAK4Kl0QVLoEx4nymfXmFrScuKaX0wI9AayACOKKU2qhp2ukMcYWBoUC2fqlUdueZ2ZJSagWmueJbMRU/IGXXbaAXYAA2a5pWOyV+Ucr2GqVUpYf7lFKTADegKlABmK5p2s+P+9lzy/fK/f9BT+G8Pu/NQ/0p5oCtU8hx+RwcbZ1CjtMre3uj7vGK5Stk6xRyXOjZtbZOQWRD4zr9bJ1CjrtruP/kIDty5JN6tk7BIpyHzctV80iWuFt2jNYnctlj61VKNQImaZr2asr2OABN077KEDcbCMB0HeRoTdMe+za7PXTO0TQt4ydqfJdFWO108f3SfR+efh9wTtO0zJ9kIoQQQgghRIr01yCmWKBp2oJ02+7A1XTbEcCLGe6jHlBe07TNSqnR2fm5djE4F0IIIYQQIj1LT4pNGYgveExIluvXpe5USgd8C/R7mp/7/2pwrmnaJFvnIIQQQggh8oQIoHy67XJA+k/qK4xp9saulCVMXYCNSqmOj5va8v9qcC6EEEIIIfKGXHBR4BGgulKqMhAJvIXpc3YA0DTtJlDq4bZSahfZmHOet67QEkIIIYQQwgo0TUsGhmBaTfAMsErTtFNKqS+UUh3/7f1K51wIIYQQQtgdYy5YO0bTNF/AN8NtEx4R65Wd+5TOuRBCCCGEELmEdM6FEEIIIYTdsf1HGFqGdM6FEEIIIYTIJaRzLoQQQggh7I50zoUQQgghhBAWJZ1zIYQQQghhd7RcsFqLJUjnXAghhBBCiFxCOudCCCGEEMLuyJxzIYQQQgghhEVJ51wIIYQQQtgd6ZwLIYQQQgghLEo650+g12ydQc5yJO9d2qzX5b3XmLo8eJ7ymsT7tymZv4it0xD/Dx04sYimdd+1dRo5Kp/O0dYp5CwHGV5ZQx4boqXKe6MaIYSwAhmYCyGEsAR5aSeEEEIIIeyOMY++ySyDcyGEEEIIYXfkglAhhBBCCCGERUnnXAghhBBC2B3pnAshhBBCCCEsSjrnQgghhBDC7shSikIIIYQQQgiLks65EEIIIYSwO3l1KUXpnAshhBBCCJFLSOdcCCGEEELYHVmtRQghhBBCCGFR0jkXQgghhBB2R1ZrEUIIIYQQQliUdM6FEEIIIYTdMebR3rl0zoUQQgghhMglpHMuhBBCCCHsjqzWIoQQQgghhLAoGZxbQXmvOnTf/Q1v7ZuJx4cdMu1/rlcLugV8RddtU+i47jOKVXcDQOegx+vbD+gW8BVv7vw6y2NzgxrN6jImcCYf7foWr0EdM+1/qWcrRvh9zXDfrxi0eiJlqrnbIMvMWrduxvHgQE6c3MWoUYMy7XdycmLxkjmcOLmLXbs3UKFCOQBatGjCvv2bOHzYj337N9GsWSMAChUqyMFDvqlfl68cY/r0CVatKb2WrZpy+Nh2gkICGT7yg0z7nZyc+GXxdwSFBOK/cw3lK5ifl3LlXLkaE8KQoe9aK+UstWz1Cn8e28bR4ACGjXw/034nJyd+WTSbo8EB+O/IXId7OVeuRAeb1RH81072HdrM7v0bCdy9zuI1ZPRKi0ZsO7iWgMMbeH9ov0z7nZwcmf3zVwQc3sAav8W4l3cFwNHRgWnfT2Tz7pVs3Pk7DRvXTz1m2Yb5bDu4lo07V7Bx5wpKlCpurXKeyqdTZ9HU+y069xpo61RyjD3W9JJXA/7Ys5jV+5bR+8O3M+33eLEOi/zms/dyAM29m5rt23clgMXbf2bx9p+Z/tuX1kr5iRo3f5F1e1fgc+AP+g3plWn/Cy/VZfn2Xzh8dRctvb1Sb3ctV5bl237hd//fWL1rKV37dLJi1o+3P/w6nZfsp+Piffx6NCzT/hl7Qum+4iDdVxyk05L9vDJvZ+q+2fvO0XXZAV5feoCvd59F0/Le/GzNwl+2kuuntSilPtE0baqt8/i3lE7x8pd92dJjGnei43l9yxeEbw8i8XxUasyFDQc5s2wHABVbv0Djib3w7TWdKu0bondyYE2rcTjkd+LNnV9zwecgtyOu26qcTJRO0eWL/vzcayo3Y27wv41TOO0fRNyFyNSY4z77ObQ8AICarerT4bPe/NJ3mq1SBkCn0zHr2y/o0L4XkZEx7N27kS1b/Dl79kJqTN9+b5KYeJM6z3vRrVsHJn85lr59hnDjRgLdur1LTHQcNWvWwGfjEqpXe4nbt+/Q6KV2qcfv278JHx8/W5SHTqfjm1mT6NKxL1GRMezYs46tvoGEpquvd983uJl4k/p1W/J6N28mTf6Id/sOS90/5evxBPjvsUX6qXQ6HdNnTuL1Tv2IiowhcPda/LbsIDQ0rY5efbqRmHgLT49WvN7Vm0lfjOHdfsNT90+dNp7ALOro6N2b+BsJVqkjPZ1Ox6RpY+n3xmBiomJZu30pO/x2c+Fc2hNvt56duZV4i1YNO+PduQ1jJgxl+HvjeLN3FwDaN+tOiVLF+eWPH3i9de/UJ91RAz/lr5AzVq/paXRu15oeXTvyyeQZtk4lx9hbTTqdjlFThjHs7THERV/jV9957N1+gPDzl1NjYiJjmTzia3oO7J7p+Pv/PKBvm/esmfIT6XQ6Pp46ksHdRxAbHceyrQvZvX0fYefCU2OiI2KZNGwqvQeZvxi5FnuDfh0GkvQgiQLOBVi9awm7t+3jeuwNK1dhzmDUmLbrLD91eYGyhfLTc+WfNKtcmqolC6XGjG76TOr3v4dcIfTa3wAERycSHJ3Iqh6m5lH/NUcIikzAs1wJ6xYh/hV76Jx/YusE/osyHlW5FR7L31euYUwycMHnEJXa1DeLSbp9L/V7B+d8qU+0mgaOzvlQeh36/E4YkpLNYnOD8h7VuH45hvircRiSDIRsOkitNp5mMffT5eyUrj5b8vT04NLFy4SHXyUpKYk1azbRvn0bs5j23m1YvmwtAOvX++Ll1RiAkJBTxETHAXD69Dny5cuHk5OT2bFVq1aidOmS7N9/2ArVZFbfsy6XLl3mckp969ZsoZ13K7OYtt6t+H35egB81vvRzKtR6r527VtxOewqZ8+ct2reGdX3rENY+gIvD64AACAASURBVDrWbqFt+5ZmMe28W/HHClP322eDH00z1BEebvs60qvzQi0uh1/l6uVIkpKS2bJhOy3bepnFtGrbjHUrNwPgtymQRq80BKDaM1U4sMf0OxV/PYFbN//meY+aVs3/v/L0eJ6iRQrbOo0cZW811az3LBHhUURdiSY5KZkAnx00ffVls5iYiFgunrmE0Wgfs3pr13uOiPAIIq9EkZyUzDafALxebWIWEx0Rw/kzFzPVlJyUTNKDJACc8jmidLljaPRX7E3KF3OmXFFnHPU6Xq3uwq5L1x4Z7xcaw2s1XABQwINkI0lGIw8MRpKNRko4Oz3yWHtltPCXreSO38AUSqkNSqkgpdQppdT7SqlpQAGlVLBSanlKTC+l1OGU2+YrpfQpt99WSn2dcnyAUqqhUmqXUuqSUqpjSkw/pZSPUspPKRWqlJpo6ZqcXYtzOzo+dftOTDwFXTO/3Vyrbyve2jeTl8a/xf4JSwAI23KYpLv36X1sDj0Pz+bEfF/uJ96xdMpPpWjZ4tyMSusu3Iy+QZGymetr1Ls1H++eTbuxPdg4abE1U8ySm1tZIiLT3r2IjIzG1a3sI2MMBgO3bv1NyZLmtXXu3JYTIad48OCB2e1vvNmRtWs2Wyj7J3N1K0tkRHTqdlRkTJb1PYwxGAzcunmbEiWL4+xcgGEjPuDrr36was5ZcXV1ITIyQx2u5nWYao0BsqrjfaZnUYemaazd8Bs79qynb//MnUFLcnEtQ3RkbOp2TFQsZV1Lm8WUdSlNTEqMwWDg9q3bFC9RjLN/naNVWy/0ej3lKrhRu+5zuLqn/X9M+34SG3eu4MORA6xTjLBLpV1KERcVl7odF32N0i6lsn28Uz4nfvWdx8+bfsw0qLeV0i6liYk0r6mMS+nHHGGurFsZVgYuwjdoHYvnLLd51xwg7vZ9yhbKl7pdtlA+rt25n2Vs1K17RN26R4OUznhd12J4litB64V7aPPLHhpXKEWVEoWyPFbkPrltWss7mqbFK6UKAEeAZsAQTdM8AJRSzwHdgZc1TUtSSs0FegJLgILALk3TPlZKrQe+BFoDNYHFwMaUn9EQqA3cBY4opbZomnY0fRJKqfeB9wF6FmvIKwWr/+uCFCrzjVk0jk8tDuDU4gCqdW7EC0M7s2vEfEp7VEEzGllW/384FS1Ip3WfEbH3L/6+8uhXzlanslffwaX+HFzqj0fHxrT4XxdWjfrJ8rk9hsoi70wd/SfEPPdcdSZ/OZaOHXpniuvWrQMDBoz474n+S/+lvrHjh/HTj79x585dS6WXbVn+emWo41G1jh0/lJ/mZF1H29ZvERMTR6lSJVi3cRHnzl3i4P4jOZb3Y2Xj3DyqpjUrNlK1RmXWBywl8mo0x46EkJxsAExTWmJjrlGwoDNzfvuGzm96s2HVFsvUIOxath4fHqNLw+5cj72BWwVX5qyaxcWzYURejnrygRb0X2uKjYqje8t+lCpbklm/fUXA5p3EX7f+tLd/a9u5GFpWK4teZ/p/uJJ4l7CEO2x75xUABm44RlBkAvXdc+e1KP+WMYvniLwgV3XOgaFKqRDgEFAeyDgqbgnUxzSoDk7ZrpKy7wHwcILvSWC3pmlJKd9XSncf/pqm3dA07R6wDjB/3wvQNG2BpmmemqZ5/peBOcCd6HgKuabN8SroUoI7MY/+g7/gc4hKr5qmvVTv3Jiru05gTDbwz41bxBw5R+k6VR55rC3cjImnqFvJ1O2iriW5Fffo+kI2HaRWa89H7reWyMgYyrm7pW67u7umTlV5KCpdjF6vp0iRwsTHJwLg5u7C73/M570BIwkLu2J23PPPP4eDg57g439ZuIpHi4qMwb2ca+q2m7tLlvU9jNHr9RQpWoiE+EQ8G9Tl88kfEXJqF4MG92Pk6EG890HmFyDWEBUVg7t7hjpisqrD9FZu+jrqe9Zl0uSPCP5rJwMH92PEqIEMeN90kdjD+7h+PZ4tm/ypX7+OlSoydcrTd7td3MoSF2N+HUlMdBwuKTF6vZ5CRQqRmHATg8HA1M9m0bF5Dwb1GUWRIoW5fMn0+xcbY3rRfufOXTat86POC7WsVJGwN3HR1yjjViZ1u4xr6afqFD+MjboSzbGDwdSoXS3Hc3xacdFxuLib13Qt9umvz7oee4NLoWHUe7FuTqb3r5QplI/Y22md8tjb9yldMF+WsdvOxfLaMy6p2zsvxvG8S1GcnRxwdnLg5YolORlz0+I5W5sRzaJftpJrBudKKS+gFdBI07S6wHEgf8YwYLGmaR4pX89omjYpZV+SlvYy2QjcB9A0zYj5OwQZ/7ct+r8fF3KJopVdKFy+NDpHPdU6vcRl/2NmMUUqpz1RV2zpwa0w01v0f0fdwL2x6QnWoUA+yr5QjcSLtu1OZBQRcpFSlVwoXq40ekc9dTs04rR/kFlMqUppDxjPtqjHjfAYa6eZSVBQCFWrVaJixXI4OjrSrVsHtmzxN4vZ4utPz15dAejSpR27dx8AoGjRIqxb+xsTJ0zn0KGgTPf9xhsdWb16k+WLeIxjQSeoWrUiFVLqe72bN1t9A81i/HwDebun6QLDTl1eY8/uQwC0a/M2dWt5UbeWFz/NXcSsGT/x8/ylVq8B4FjQSapUrZRWR1dv/LaY17HVN5C3erwOQKfOr7E3pQ7vV3vgUbs5HrWbM2/uIr6dOY+FC5bh7FyAQoUKAuDsXIDmLZtw5vQ5q9V08vhpKlUuT7kKbjg6OuDduQ2BfrvNYgL9dvN69/YAvNahJYf2mbr6+Qvkp4Cz6WHx5WYvYjAYuHAuDL1eT/ESxQBwcHCgeZsmnD9z0Wo1CftyJvgs5Su741reBQdHB1p1asHe7QeydWzhooVwdHIEoGjxItRpUJuwc5efcJTlnQo+S/nK5XEr74qDowOvdmrF7m37s3VsGdfS5Mtvmo9duGhh6jaow+WLV55wlOXVKluEK4l3ibx5jySDkW3nY/CqknmqTnjCHW7dT6KuS9HU21wK5ycoMoFko5Ekg5FjkYlULl7QmumL/yA3TWspCiRomnZXKfUs8FLK7UlKKceULngg4KOU+lbTtDilVAmgsKZpT/PI0DrluHtAZ+CdnCwiI81gZN9ni2m3/COUTkfoyt0knIvEc3RXroWEcdn/GLX7tcG9SS2MyQbu37zDzhHzATi1yB+vWe/zRuA0lFKErtpD/Jmrlkz3qRkNRnwmLGLAknHo9DqOrNpF7PkI2ozoRsTJME4HBNG4bxuqvfw8xuRk7t28w0obT2kB0zzeUSMn4LNxCXq9niVLVnHmzHk+/WwEx46dxHdLAIsXrWLhL7M4cXIXCQmJ9O3zPwA+GNiHKlUrMnbcUMaOGwpAxw69uXbN1E16vas3r3fpb7PawFTfR6M+Z+2G39Dr9SxfupqzZ84z7tNhBB/7i62+gSxdvIp5C2cSFBJIQkKi2QonuYXBYOCj0Z+zZsOv6HV6li9dw9mzFxg3fhjHj5/Ez3cHy5asZt7PMzgaHEBCQiID+j9+OlHpMqVYuuJHwDSQXbNqE4EBe61RDmCq6fNx0/l11Rz0Oj1rfvfhQuglhn08kJPBp9mxbQ+rl/swY+5kAg5vIDHhJiPeN10XX7JUcX5dNQfNqBETHcfowZ8BpovYfl01BwcHB/R6HQf2HGbl0vVWq+lpjJk4jSPHT5CYeIuWnXsx+N3edO3wqq3T+k/srSaDwcjMT79n9orp6HQ6Nq/cSti5cN4b3Z8zIaHs8z/Ac3WfYdovkylctBBNWjdiwKj+9GzRn0rVK/LxtJEYNQ2dUiyd87vZKi+2q8nA15/M4sffZ6HT69j4xxYunQtj4Jh3OR1ylj3b91Oz7rPM/HUqRYoVpmnrlxk45l3e8OpN5eoVGTlxCJpmmnW2dN7vXDh7ydYl4aDT8bHXMwz2OYbRqNGplhtVSxZi7qEL1CxTBK8qpncK/EJjeLWGi9nUnlbVynIkIp43l5uaFY0rlqRZFgN7e2f75SUsQ+WGlTMAlFL5gA2AOxAKlAYmAW2BjsAxTdN6KqW6A+Mwdf2TgA81TTuklLqtaVqhlPuaBNzWNG1GyvZtTdMKKaX6Ae0wzU+vBqzQNO3zx+U1v1yv3PEflEMuOhhsnUKO+zHuoK1TyHFOutz0ujlnZDUn1J6VzF/E1inkuNNnVts6BZFNTeva9vMHctp9Y5KtU8hR+z71sHUKFuH84Zxc9UA+vlIPi47RpoSvsEm9uWYEoGnafUwD8Yx2AR+ni1sJrMzi+ELpvp/0qH1AnKZpQ/5jukIIIYQQwobsY6HPp5dr5pwLIYQQQgjx/12u6Zxbg6Zpi4BFNk5DCCGEEEL8R7ZcUcWSpHMuhBBCCCFELvH/qnMuhBBCCCHyhrzZN5fOuRBCCCGEELmGdM6FEEIIIYTdkdVahBBCCCGEEBYlnXMhhBBCCGF3ZLUWIYQQQgghhEVJ51wIIYQQQtidvNk3l865EEIIIYQQuYZ0zoUQQgghhN2R1VqEEEIIIYQQFiWdcyGEEEIIYXe0PDrrXDrnQgghhBBC5BLSORdCCCGEEHYnr845l8H5E+zW37F1CjlK0/LeW0B6lffeANLr8l5N/yQn2TqFHHW4aWFbp5DjGtfpZ+sUctyBE4tsnYJF7An5xdYp5DjveoNtnUKOcfnI19YpWMStD22dwf8PMjgXQgiRZzWt+66tU8hxeXFgLsS/kVc/IVQG50IIIYQQwu7kzaG5XBAqhBBCCCFEriGdcyGEEEIIYXfy6rQW6ZwLIYQQQgiRS0jnXAghhBBC2J28upSidM6FEEIIIYTIJaRzLoQQQggh7I4mc86FEEIIIYQQliSdcyGEEEIIYXdkzrkQQgghhBDCoqRzLoQQQggh7I7MORdCCCGEEEJYlHTOhRBCCCGE3ZE550IIIYQQQgiLks65EEIIIYSwO0ZN5pwLIYQQQgghLEgG51ZQp1k9ZuyYw6zdc+kw6PVM+9sN6Mj0gO+Z5vctn6z4nFLupQEo5V6aKZtnMNV3FtP9v6Nlz1etnfoj1W1Wj5k7fuTb3T/R8RE1fRPwA1/7zWb8ii8y1DSTr3y/5Rv/72ll45patW5K0PEAgk/sYMSogZn2Ozk58dvi7wk+sYMdu9ZRoYI7APXr12Hfwc3sO7iZ/Ye20L5Dm9RjihYtzJJlP3L0mD9HgrbTsGE9q9WTXotWr3AoyI/Dwf4MHfF+pv1OTo4s/G02h4P92bZjNeVTaitfwZ2rsSfYuc+Hnft8mPHt59ZO3Uyr1k05FhxIyMmdjHzEOVq85AdCTu5k5+71aefIsy4HDm3hwKEtHDzkS4eOaedo7ryvCQs/wuEjflar41EcPBpS5PslFJmznHxdemQZ49jYiyKzF1Fk9m8UHP6p+c4CzhRdsJoCA4ZZIdvsaeTVkDV7l7Fu/wr6DumZaX+9F+uydNtCDl7ZQQvvZpn2FyzkzJagtYyZMtwa6T7RS14N+GPPYlbvW0bvD9/OtN/jxTos8pvP3ssBNPduarZv35UAFm//mcXbf2b6b19aK+X/7NOps2jq/Rade2X+m8utPL3q88uuhfy291e6D34z0/7nX6zNj75z2Bq2hVfaNTHbN+CTd1kQMJ+FOxYw+PNB1ko5S5Z4Xjp5eg8HD29l38HN7NrrY7VaLE2z8Jet2N20FqVUJWCzpmm1bZxKtiidjv6T3+ernpO4EXODLzdO51jAYSLPR6TGhJ+6xKftR/Pgnwe06vUqb4/rww9DZpIQl8DE18eS/CCZfM75mb79O4L8D5MYl2DDih7W9AFTe07kRswNpmz8hqAsahrfflRKTa/RY1xfvh8yI6Wmj1Nr+mb79wT5HybBBjXpdDpmzvqcTh36EBkZw669G/DdEkDo2QupMX36vkli4i086rSga7f2fD75Y/r3Hcrp0+do1qQTBoOBsi6lOXBoC1t9AzEYDHz9zQQC/HfTp9eHODo64uyc3ya1fT1zIt069ScqMgb/XWvx8w3kXOjF1Jiefd4gMfEmDT1a06WrNxM/H8OA/qbBUHjYFZo36WT1vDPS6XTM+vYLOrbvTWRkDHv2+uC7JYCz6c5R335vkph4k7rPN6dbt/ZM/nIsffv8j9OnQnnl5Y6p5+jQIV98t5jO0fKla5k/bwk//zzThtUBOh3O7w3j9hejMd64RuGv55F0ZD/GiMtpIa7u5O/Sk7/HD0G7cxtVpJjZXRR4+x2ST4dYO/NH0ul0fDR1BEPeGkls9DUW+y5gz7Z9hJ1PqykmMpbPh0+l18C3sryPgR8N4NihYGul/Fg6nY5RU4Yx7O0xxEVf41ffeezdfoDwDPVMHvE1PQd2z3T8/X8e0LfNe9ZMOUd0bteaHl078snkGbZOJVt0Oh1DvvyQsT0+4Xr0dX7Y/D0H/Q9x5fyV1Ji4yGvMGDmTbh90NTu2Zv3nqOVZk4FtTIPyWetmUuelOpw4dMKqNYDlnpcAvNv2IP6GbccPInukc25h1TyqExseTdzVWAxJyRzctI/6rRuaxZw++BcP/nkAwPnj5yjhWhIAQ1IyyQ+SAXB0ckTplHWTf4RqHtWJyVCTZ+sXzWLS13TheGiurMnTsy6XLl0mPPwqSUlJrF2zGe/2rc1ivNu34vflawHYsH4rXl6NAbh375/UB7z8+fLxcNpb4cKFaPxyQ5YsXgVAUlISN2/+baWK0rzgWYewS5e5nFLb+rVbaOvdyiymrXdL/vh9PQAbN/jxilcjq+f5JJ6edbl0Me0crVmzKfM58m7N8mWmc7Q+G+cIYP/+wyTEJ1qniMfQV3sWY0wkxthoSE4mad8OnBq8bBaTr1V77vttQLtzGwDtVlre+io10BUtQVLIUavm/Ti16j3H1fBIIq9Ek5yUjL9PIM1eNe9SRkfEcOHMJTRj5t7Us8/XoETp4vy5+4i1Un6smvWeJSI8iqiUegJ8dtD0VfNzFBMRy8UzlzAa887aEZ4ez1O0SGFbp5Ftz3g8Q1R4NDFXYkhOSmb3xt00bmP+mBYbEUvY2TC0DPOUNQ2c8jnh4OSAo5MjDo56Eq7bZhBrieelvMyIZtEvW7HXwbleKfWzUuqUUmq7UqqAUmqXUsoTQClVSikVnvJ9P6XUBqXUJqVUmFJqiFJqpFLquFLqkFKqhCUTLe5SghvR11O346NvUMKl5CPjm3dvRciuY6nbJVxLMs3vW3449DOb5q23edccMtd0I/oGxV0e/d/olammUnztN5s5hxaycd46m3TNAVzdXIiIiE7djoqMxs21bIaYsqkxBoOBW7f+pkTJ4oDpQfTPI34cPLyV4UM/xWAwUKlyeW5cj+en+dPZe2ATP/z4Fc7OBaxX1MO8XcsSFRGTuh0VFYOrW9lMMZEZaythqq1CxXLs2LuBjb7LeKmRp/USz8DNzYWIyLRzFBkZg5ubS4aYsqkxBoOBm7f+puTDc9TAgyNHt/HnET+GDRuf+sSVW+hKlMZ4/VrqtjH+GqpkafMYt/Lo3cpReMoPFP5qLg4eKS/ulaJA38HcXfKTNVN+otIupYiNikvdjo2+RmnX0o85Io1SiuETP+T7ybmnptIupYhLV09c9DVKu5TK9vFO+Zz41XceP2/6MdOgXuScUi4luRaV9rd0Lfo6JR/zXJvemWNnCD4Ywh9HV/BH0AqO7g7i6oWrlkr1sSzxvASgaRobNi5m9z4f+vXP+h0rkXvY6+C8OvCjpmm1gESg6xPiawM9gIbAFOCupmn1gINAH0smqsjcGc74qv2hl7s0o/LzVdk8f0PqbfHRNxj72ghGNB1E067NKVKqqMVyza6sanrUC8wmXZpR5flqbJq/PvW2+OjrfPzacEY0HUjTrs0paqOaVFZlZDg3Wddqijl6NIQXG7yGV9POjBo9iHz5nHDQO1DXoxa//LycVxp34O7du1nOk7Y0lUVxmWrLKgaN2Jg4PGp50eKVznz2yVfM/2UmhQoXtFiuj/Ov63h4jo4E08DzVZq90olRoweTL5+TZRL9t7J64yjj44NOj861HH9PGM6db7+g4OAxKOdC5HutM0nHDqHduJbFndhOds7Zo3Tr14X9Ow6ZDe5t7b/UA9ClYXfeaTeQiR9+yfDPh+Be0S0n0xMP/Yfz5FbJlQrVKtCjYS/ebtATj8YePP+ibWbOWuJ5CaBNyzdo+nJHunZ5h/c+6E3jlxvkeO62oFn4n63Y6+A8TNO0hxMSg4BKT4jfqWna35qmXQNuAptSbj+Z1bFKqfeVUkeVUkcv3A7/T4nGx9ygpGtal6WEa0kSYuMzxdV+uQ6dh3Rj5oCvUqd9pJcYl0DEuSs827Dmf8onJ2SsqeQTapoxYGqWNSXEJRBx7irP2KimqMgYypVzTd12c3clOsZ8UBAVlRaj1+spUqQw8RmmQ5wLvcidO3epWfMZIqOiiYyM4ehR0xzgDev9qOth/Qf5qKgY3MqldZjd3FyIic5cm3uG2hLiE3nwICl1ykdI8CnCw65QrVpl6yWfTmRkNOXc086Ru7sL0dGxGWJiUmP0ej1FszhHoaEXuXvnLjVrPWP5pJ+C8cY1dKXSusq6EqXR4q+bxWg3rpF0ZD8YDBjjYjBEXkHn6o6+Rk3yt+1CkZ/+oECfQeRr1oYCvTJf+GttcdHXKOtWJnW7rGtprsdcf8wRaerUr8Wb/V/H58+VDJswmHbdXmXIJx9YKtVsiYu+Rpl09ZRxLc312BvZPv5hbNSVaI4dDKZG7Wo5nqOA69HXKe2W9rdU2rUU8Vk8L2Xl5Vdf5uzxs/xz9x/+ufsPR3Ye4dl6z1oq1ceyxPMSQEzKfVy/doPNG7dT37OuJcuwGqOFv2zFXgfn99N9b8B0YWsyafVkvAIvfbwx3baRLC6K1TRtgaZpnpqmeVYrVOk/JXox5DwulV0pXb4MekcHGnVoQpC/+VzKirUq8+5Xg5j57lRu3biZensJl5I4przqLVikIDU8nyP6YuR/yicnZF3TYbOYSrUqM+Crwcx4Qk3PeD5L9MUoq+b/UFDQCapUrUTFiuVwdHSka7f2+G4JMIvx3RLI2z1Nb8x07tKW3bsPAlCxYjn0ej0A5cu7Ub1GFS5fiSAu9jqREdFUq24azHp5Nebs2fNWrMrkeNBJqlSpRIWU2rp09cbPN9Asxs93B2+93QWAjp1fY29KbSVLFkenM/0pVaxUnipVKxEebpu3eIOCTlC1Wto56tatQ+Zz5BtAz16mc9TlkefIneo1qnDlcgS5ieFCKDrXcujKuICDA45NWvDg6AGzmAeH9+FQywMAVbgoerfyGGOjufvdFG4O7M6tQW9xb8lP3N+9nXvLFtiiDDOng89SoXI53Mq74uDoQOtOLdmzfX+2jv1syGQ6NHiDTi9257sv5uK7Zhtzps63cMaPdyb4LOUru+Na3gUHRwdadWrB3u0HnnwgULhoIRydHAEoWrwIdRrUJuzc5SccJf6N0JBQ3Cu54VK+LA6ODjTr2IyD/oeydWxcVBzPv/g8Or0OvYOeOi89b7NpLZZ4XnJ2LkChQqZ3P52dC9CiZRPOnD5nxarE07K71VoeIxyoDxwGutk2lTRGg5FFE35m7JKJ6PQ6dq0KJPL8VbqNfJtLJy5wLOAIPT/pS37n/AydOwaAG1HXmDngK9yqlaPXp/3QNA2lFFsWbOBq6JUn/ETLe1jTuCUT0en17FoVQERKTWEnLhAUcIQen/Qjv3N+hs39CDDVNGPAVNyrlaPXp/1Ta9q8wIerobZ5sjIYDIwZNYn1PovR63UsXbKas2fOM/7T4Rw7dpKtvoEsWbySBQtnEXxiBwkJN+nfdygAjRp7MmLkQJKSkzEajYwcPiH1Kvgxoyex8NfZODk5Eh52hcEDP7JJbWPHfMHq9b+g0+tZsXQNoWcvMHb8UIKP/YXf1h0sX7KauQu+4XCwP4kJN3mv/whTbS83YOz4YSQnGzAaDIwePoHEhJtP+ImWq2PUyIls2Lgk9RydOXOeTz8bwbFjJ/HdEsDiRStZ+Mu3hJzcSULCTfr1+Z+pjsYNGDUq7RyNGP4ZN1LO0W+LvuOVpi9RsmRxQs8fYMqXs1Mv4rUqo4G7C7+j0GffgE7Hgx1bMV4NJ/9b/TFcCCXp6AGSgw/j6OFJkdmLwGjk7pJ5aLdvWT/XbDIYDEwfP5vvV8xAr9ex8Q9fLp0L54Mx73AmJJQ92/dTs+6zTP/lS4oUK0yT1o35YPQ7dG/e19apZ8lgMDLz0++ZvWI6Op2OzSu3EnYunPdG9+dMSCj7/A/wXN1nmPbLZAoXLUST1o0YMKo/PVv0p1L1inw8bSRGTUOnFEvn/G62yktuNmbiNI4cP0Fi4i1adu7F4Hd707VD7lnONyOjwcicz+YyddkUdHod21Zu5/K5y/QZ1ZtzJ85zyP8QNerWYOLPn1G4aGFeavUivUf25v1WH7B3yz48GnuwwH8emqZxdHcQhwL+tEkdlnheqlSpPMv/mAeAg17P6lUbCfDfY5P6cpotL9q0JPU0c+dyg4xLKSqlRgOFgD+AVcBtYAfQS9O0SkqpfoCnpmlDUuLDU7avZ9yXlR4Vu9jXf9AT2HIOlaVsuW795a4szUmfl143m/yTnGTrFHLU1bYVbZ1CjmtzMO+sNvKQg9LbOoUctyfkF1unYBHe9QbbOoUccyg+b3amb925lDuWjUvxRsVOFh3UrL7sY5N67W4EoGlaOKYLPB9up1+EtU667z9N2b8IWJQuvlK67832CSGEEEII+5AXG45gv3POhRBCCCGEyHPsrnMuhBBCCCFE3puIZyKdcyGEEEIIIXIJ6ZwLIYQQQgi7Y2+LmmSXdM6FEEIIIYTIJWRwLoQQQggh7I4RzaJf2aGUek0pFaqUuqCUGpvF/pFKqdNKqRNKqUCl1BPX4ZXBuRBCCCGEEE9JKaUHfgTaAjWBt5VSNTOEHcf0mTp1gDXA9CfdrwzOhRBCCCGE3TFa+CsbGgIXNE27pGnaA0wf2JND8gAAIABJREFUiNkpfYCmaTs1TbubsnkIKPekO5XBuRBCCCGEEBkopd5XSh1N9/V+hhB34Gq67YiU2x7lXWDrk36urNYihBBCCCHsjqU/IVTTtAXAgseEqKwOyzJQqV6AJ9DsST9XBudCCCGEEEI8vQigfLrtckBUxiClVCtgPNBM07T7T7pTGZwLIYQQQgi7k90VVSzoCFBdKVUZiATeAnqkD1BK1QPmA69pmhaXnTuVOedCCCGEEEI8JU3TkoEhwDbgDLBK07RTSqkvlFIdU8K+AQoBq5VSwUqpjU+6X+mcCyGEEEIIu5MbPiFU0zRfwDfDbRPSfd/qae9TOudCCCGEEELkEtI5F0IIIYQQdieba5HbHRmcP4Gll+mxNpXlqj/27W7SEy98tjsOOr2tU8hxee1vqdzWcCoXdrF1Gjkqr50jgHw6R1unILJpy/G5tk4hRw31zPRJ7iKH5cXHLJDBuRBC/Ct5bWAu7Id3vcG2TiHH5bWBuRD/hQzOhRBCCCGE3ckFSylahFwQKoQQQgghRC4hnXMhhBBCCGF3csNSipYgnXMhhBBCCCFyCemcCyGEEEIIuyNzzoUQQgghhBAWJZ1zIYQQQoj/a+++w6OovgaOf89uQpNeJAktFAFBehDpHaWjIEpVbK8VxQqioKhgAVT8KYoiUmyASu9dmvTeO4SEmlAFUu77x2xCliS0lMms5+OTx+zM3XBONjt7586Ze5Xj+Oo85zpyrpRSSimlVAahI+dKKaWUUspxYnW2FqWUUkoppVRa0pFzpZRSSinlOL45bq4j50oppZRSSmUYOnKulFJKKaUcR+c5V0oppZRSSqUpHTlXSimllFKOoyPnSimllFJKqTSlI+dKKaWUUspxjM5zrm5XpfpVGLLgaz5fPJw2zz2UaH+Lp9rw2byv+GTWF/T9ZQD5CxUAIH+hAnw0bQiDZnzOZ3OH0aTL/ekderIq1q/C4AX/Y+jib2idTE6fzhvGx7M+5+1f3r8mp8EMnDGUT+d+SeN0zun+Zg3YumUJO7Yt5c03Xki0P1OmTPzy83B2bFvK8qVTKVascPy+t958kR3blrJ1yxKaNa0PQObMmVmxbBpr18xl44YF9O/3Wnz75597nB3blhJ9JZR8+fKkfXJA4yZ1+WfdbNZsmMfLrz6TaH+mTJkY+dMXrNkwj7kLJlKkaCGv/YUKB3IobAMv9nwyftuGLQtZunIai5dNYf7iP9M8h2s1bVqf9Rvms2nzIl577blE+zNlysToMf9j0+ZFLFo8iaJFrdesUaM6LF02lVWrZrF02VTq168Z/5yHH27DqlWz+OefmUyaPDrdXp+k1G54H1OX/c6MlRN48qVuifZXu68y4+eOZkPoUpq2aui179tfP2f5rrl8PW5weoV7U+o0vI9py8Yzc+VEnnqpe6L91e6rzIS5o9kYuoxmrRp57fvu1y9YsWseX48bkl7h3lCthjX48+9fmLz8Nx5/sWui/VXvq8TPc0ay6vAiGrdsEL89sHBBfp49kl/njmLCorG07942HaO+vpAG1Ri56AdG/f0jjzzfMdH+CjXu4esZ/2Pm/unUbVHHa99Tbz/JiHnf8cOCETz/fuL3ZEb0zsCh1Gv5KO26Pmt3KLekXP1KvDf/C95fNIxmzyX++2n8ZEv6zR1K35mf8fLP75K3UH4AStcsz9szPo3/GrZzHJWaVU/v8NVtSvXOuYjMEJHct9A+WES2pHYcN/lvn0/zf8PloscH/8cnjw3g9SYvUatNXQrdVdirzYGt++jb6jXeeuAV/pmxnM59HgMg4ngE/R96iz4tevFO2zdp81x78txpXycijpXTM3z62Ae80aQntdrUSTKnd1q9Tu8HerFqxnI69bE+oK2cevN2i1d5t+1btHnuIXKnU04ul4thX35Eq9ZdqVCpIY880o67777Lq80TPToREXGGsuXq8MWw7xk0sC8Ad999Fx07tqVi5Ua0bNWFr4YNxOVycfnyZZo060i1kKZUC2nG/c0aUOPeqgAsX7Ga+5s/yoEDh9Mtv0+HvEfHh56iZvXmtO/QijJlSnm16dq9A5GRZwmp3IThX4/ivQFveO0f+HFf5s9dkuhnt2nZjfq129C4fuITsbTkcrkY+vkAHmz3ONWqNuXhh9tQtqx3To893pHIyDNUrNCA/301kg8+7A3AqVMRdOjwJPfe+wDPPP0aP4z8HAC3281nn/WjefNO1KjRnC2bt/N/zz6WrnnFcblcvPPx6zzXuRdt6naixYPNKFE62KtNWOgx3nn5A2b8OSfR80d98zN9Xnw/naK9OS6Xi74fv8GznV+hTd1HafFgM0qWLu7VJiz0GH1f/oDpSeT04zfj6PPie+kU7Y25XC7eGvgqL3V5nfb1u/JAuyYUv/Y1OnKM914eyKy/5nltP3HsFI+3fpZOTXvQvcUz9HixK/kL5kvH6JPmcrl48cMX6Nv9HZ5u9AwN2jag6F1FvdocDz3B4FeHsGDSQq/t5ardTfmQcjzb7DmeafIspSuVpuJ9FdMz/NvSrkVTvh36od1h3BJxCY8OeJL/PT6QAU17Ub1NbQJKeQ+oHN52gEGte/NR8zdYP3MlD/axTh53rdjKwBZvMrDFm3zR6X2u/HuFbUs22pFGmorFpOmXXVK9c26MaWGMiUztn+tUpSrfRfiBMI4fPkZMVDQrpi4lpGkNrzbbVmzhyqUrAOxZv5O8gdbBOyYqmugr0QD4Z/JHXJK+wSejVOW7OHZNTtWa3uvVJmFOu9fvyhA53Vu9Cnv3HmD//kNERUUxfvxk2rT2Hrlv07oZY8dOAOCPP6bTqGEdz/b7GT9+MleuXOHAgcPs3XuAe6tXAeDChYtWPv5++Pn7x19m27BhKwcPHkmv9KgWUpH9+w5y8MBhoqKi+POP6TRv1dirTYuWTfjtF2v0e/KkWdRrcHU0uUWrJhw4cJgd23enW8w3EhJSmX17D3LAk9PEiVNp1aqZV5tWLZvx87g/APjrrxk0aFALgI0btxIedhyAbdt2kTlzZjJlyoSIgAjZsmUDIEfOHISFHUvHrK6qULUch/Yf4cjBo0RHRTNz0lwaPVDPq83Rw2Hs2raH2NjEHxT//L2Gi+cvple4N6VC1XIc9uQUFRXNjElzaZhMTiY2NtHz//l7DRcyUE73VLmbIweOEHrIeo1mT55Hg/u9R5LDjoSze/teYq/JJzoqmqgrUQBkyuyPuDLGxeoylctw9EAY4YfCiY6KZvGUxdRqVtOrzbEjx9i/Y3+isgFjIFPmTPhl8sM/kz9+/m4iTkakZ/i3JaRyBXLlzGF3GLckuHIpThwM5+Th48RExbBm6vJEo9+7VmwlyvNZu2/9bvIE5E30c6q2uI+ti9bHt/MlJo3/s8stHylE5E0R6en5/nMRWeD5vrGIjBORAyKS3zMivl1EvheRrSIyR0SyetpWE5GNIrICeCHBzy4vIqtEZIOIbBKRuzw/Z4eIjPZsmygi2RL8nMUislZEZotIoGd7SRGZ5dn+t4iU9WwvLiIrRGS1iHyQ4t/eTcgTkJdTYSfjH58KO5XkmydOg0easHHRuvjHeQPz88msL/jfyh+Y8u2fRBy3/yB4bU6nw06RNyD50aCGiXLKx8ezPuerld8z9du/iEynnIIKBXD4yNH4x0dCwwgKCki2TUxMDGfOnCVfvjwEBSXx3ELWc10uF2tWzyEsdBPz5y9h1er16ZBNYoGBAYSGhsU/PhoaTmBgQe82QQUJPRIOWPmdPXOevPnykC1bVl7u9QyfDvoq0c81xvDHpFEsWPIXj/V4JG2TuEZQUEGOhF79vYeGhhEYVDDZNjExMZw9ey5RmUq7ds3ZtHErV65cITo6mldefodVq2exd98qypYtxeiffk/7ZJJwZ0ABwo8ej3987Ohx7gwoYEssqaVgwJ2EHb16snPs6HEKOjinAgEFCA+9+hodDztxS69RwaA7+X3+T8xY+yej//czJ4+dSoswb0n+gHycOHoi/vGJsJPku84xPKHt67azYcVGflvzC7+t/YU1i9dyeE/6XB38r8ldMC8RR6/+vUSEnSJ3weT7D7U7NmLrog2Jtoe0rs3qKcvSJEaVNm7nNH4JUNfzfQiQXUT8gTrA39e0vQv42hhTHogE2nu2jwJ6GmNqXtP+WeBLY0xlz8+OG3YsA4wwxlQEzgLPe/7Nr4AOxphqwI/AR572I4CXPNtfB77xbP8SGG6MqQ6EJ5egiDwjImtEZM2e8wdu+Au5HiGJkeFkTsbqPFifEhVKMfW7v+K3nQ47yVsPvEKves9Sr31DcuXPlaJ4UkNSOSV3U0btB+tTvEJJpn03KX7b6bBT9H6gF73qPUe99g3JmU45idw47qTbXP+5sbGxhFRvRrHiIVQPqUL58mVSKeJbk0SIN5mfoXffngz/36j4qwAJNW/6KA3rtqPjQ0/y5NNdqFk7/eoWb+Y1SyrxhG3uvvsuPviwNy+99DYAfn5+PP10V2rVbEnJEveyZcsOXn/j+dQN/CYlmZ8NcaSqJA95zs3qpv4Gr+PY0eM80vhx2tZ8hFYdHyBvfvtLE2/0nrmeoOBAipYqSud7u9Kpehcq16pMhRr3pHaEilv727u3XV2KVSzB3BFTvLbnLJCboDJFfbKkBazfR1p+2eV2OudrgWoikgO4DKzA6kjXJXHnfL8xZkOC5wWLSC4gtzFmsWf72ATtVwBvi8hbQDFjzL+e7YeNMXGnfeOwTgTKAPcAc0VkA/AOUFhEsgO1gAme7d8BgZ7n1gZ+TeLf9WKMGWGMCTHGhJTKHnzj38h1nA4/Rb7A/PGP8wXmI+LY6UTt7qldkXYvdmDwUwPjyz4SijgewZFdhylzb7kUxZMars0p7w1yGvLUoCRzijwewZFdhyibTjmFHgmjSOGg+MeFCwUmKmdI2MbtdpMrV05On44gNDSJ5x71fu6ZM2dZvGQ59zdrkHZJXMfRo+EUKhQY/zioUADh4ce924SGU6iwNeLvdrvJmSs7EacjqRZSifc+eJMNWxby7POP0+u1Z3nqGat2Me5nnDx5mulT51KtWvrVl4aGhlO40NXfe6FCgfGlKnGOJmjjdrvJmTMHp09blXVBhQL49bfvePqpV9m//xAAFStZf29xj//8Yzr33VctzXNJyrGw4wQE3Rn/uGDQnZwIP3GdZ2R8x8KOe13dKBh0J8fDT17nGRnb8bDjBBS6+hrdGViAE8duPZ+Tx06xb+d+qtSolJrh3ZaTYScpEHR19L9AYH5OJ3EMT0rt+2uzY/0OLl28xKWLl1i9cDVlq5RNq1D/0yLCT5En6OoVjTyB+TiTxJXmsrUr8MCLDzL8qU8TfdZWa1WTDbNXERsdk+bxqtRzy51zY0wUcADoASzH6pA3BEoC269pfjnB9zFYUzcKyQwOGWN+AdoA/wKzRSTuNv5r2xvPz9lqjKns+apgjGnmySkywfbKxpi7r3luutm7cTcBxQMpUORO3P5+1Gxdh7VzV3m1CS5fnKcGPc/gJwdy9tSZ+O15A/LhnzkTAHfkvIMyIWUJ23sUuyWd02qvNsXKF+fJQc8x5AY5lQ65m7C9oekS9+o1GyhVqjjBwUXw9/enY8e2TJ3mfUPa1Glz6NbtYQDat2/JwkXL4rd37NiWTJkyERxchFKlirNq9Xry589Lrlw5AciSJQuNG9Vl58696ZLPtdat3UyJksEULVYYf39/HmrfklnT53u1mTljPo92tm7qbNvuAf5evBKAlvd3pvI9Dal8T0O+/eYnPh/yLT+MGEe2bFnJnv0OALJly0rDxnXYvm1XuuW0du1GSpYKppgnpw4dWjN9+lyvNtNnzKVLV+ui3IMPtmDx4uUA5MqVkz//GEX/fp+ycuXa+PZHj4ZT9u67yJ/fujzcqHEddu7Yk04ZeduyfjtFSxShUNFA/Pz9aN6uKQtnXzvG4SwJc/L396NFu6YsnJ34JmOn2LphB0WKFyGoiPUa3d+2CYtn31yJwJ2BBcicxTre5ciVg0rVK3Jw76G0DPem7Ny4k0LBQQQUKYifvx/129RnxdyVN/Xc40ePU6FGBVxuF24/NxXvq6BlLWnk4Ma93BkcSL7CBXD7uwlpXYtNc9d4tSlcPpjOA59m+FOfcu7U2UQ/o3qb2qyZ6rslLb56Q+jtznO+BKtc5AlgMzAUWGuMMUldhknIGBMpImdEpI4xZinQJW6fiJQA9hljhnm+rwjsA4qKSE1jzAqgE7AU2AkUiNvuKXMpbYzZKiL7ReRhY8wEsQKqaIzZCCwDHsUafe9COoiNieWnft/TZ0x/XG43i8bP48juw3R4tRP7N+1h7bzVdH77cbJky8LL37wJwKmjJxj81EAKlSpM13d6YIxBRJg2YjKHdx5Mj7CvKy6n3mP643K7WDR+PqGenPZt2sO6eavp8vZjZMmWhZ7fWLOBnDp6giFPDSKoVGG6vvN4fE7TR0zi8M70+bCKiYnh5VfeYcb0X3C7XPw0+ne2bdvFe/1fZ83ajUybNpcfR/3G6J+GsWPbUiIiIunc1Sp32LZtFxMnTmXzxoVEx8TQ8+W+xMbGEhhYkB9HfoHb7cLlcjFx4lSmz7BmbHjxhSd4/bXnCQgowPq185g5awH/9+wb1wsxxfm9+fr7TJz0I26Xm5/HTmTHjj306fsy69dvZtaMBYwbM4Fvvx/Mmg3ziIiI5Kkeva77MwvcmZ+xv3wNWOUgE8dPZf689Os8xsTE8Nqr/Zg8ZQxut5sxY8azfftu3nm3F+vWbWbG9HmM/mk8P4wcyqbNi4iIiOSx7i8B8H/PdqdEyWL07tOT3n16AtCmdTfCw44zcOCXzJ4znuioKA4dDuX/nnk93XK6Nr+BfQbz3W9f4na7+OvXaezduZ8X3nyarRt3sGj239xT+W6+GPUJOXPnoEGzOrzwxtO0q98ZgNGTv6V4qWJkuyMr89ZPoV+vj1i+6B9bckmY00d9BjPit2G43C7++nUqe3fu58U3n2Hrxu0s9OT05ahPPTnV5YU3nqZt/U4AjJn8XXxO89dPpV+vD1lmY04xMTF88vZQvv51KC63iym/TWffrv08+8aTbNu4gyVzllGuUlmG/DiQnLlzUK9pbZ5940kebtCN4ncV49X+L3pK42Dst7+yZ8c+23KJExsTy//e/YaB4z7C5XYx+/c5HNx1kO6vdWPXpt2snLuS0pVK0//7d8mRKwf3NalBt1e78UyT/+Pv6UupXKsyI+Z+izGGNYvXsnKevX9zN+ON/h+zev0mIiPP0rhdV55/shvtW2ec6YmTEhsTy2/9fuSlMX1xuV0sH7+QsN1HaNWrI4c272XTvLW079OVzNmy8PQ3rwIQEXqS4U9/CkDewgXIE5if3Su32ZmGug1yOzU1ItIYmIVVnnJBRHYB3xpjhorIATy16MA0Y8w9nue8DmQ3xrwnInE14heB2Vh14/eISB+gKxCFVRPeGcgJzMA6IagF7Aa6GWMuikhlYBiQC+tE4wtjzPciUhwYjlXO4g/8ZowZ4Nn+i6ftH8A7xpjs18u1U7F2zi2WTEKSNfAONz5s1Y0bOUzOzNnsDiHVXY6JsjuEVFU8R8CNGzmMk2vDk5PZ5W93CKkuv991P7Ycafr6b27cyGF6hvS2O4RUN/zA+AzViagSUDtND1rrw5fZku9tjZwbY+ZjdXrjHpdO8H2w59uTWDXhcdsHJ/h+LZCw8O49z/ZBwKCE/5aI5ARijTGJVg7w1LPXS2L7fuCBZLYnvAn14yTSU0oppZRSyha3W9ailFJKKaWUbeysC09LGb5zbow5QIIReKWUUkoppXxVhu+cK6WUUkopdS1fvE8Gbm+ec6WUUkoppVQa0JFzpZRSSinlOLE2ruKZlnTkXCmllFJKqQxCR86VUkoppZTjaM25UkoppZRSKk3pyLlSSimllHIcrTlXSimllFJKpSkdOVdKKaWUUo6jNedKKaWUUkqpNKUj50oppZRSynG05lwppZRSSimVpnTkXCmllFJKOY6v1pxr51wppZRSSjmOr5a1aOf8BvpnvmJ3CKlq99lcdoeQ6uZkucPuEFJd5KULdoeQ6vxcbrtDSFVts5awO4RU17dXTrtDSH1+vvcxF/DmDLtDUDdh2JqP7Q5BOZTvHbWUUkop5Sg9Q3rbHUKq0o55+vDVsha9IVQppZRSSqkMQkfOlVJKKaWU4xgTa3cIaUJHzpVSSimllMogdORcKaWUUko5TqzWnCullFJKKaXSko6cK6WUUkopxzE+Os+5jpwrpZRSSimVQejIuVJKKaWUchytOVdKKaWUUkqlKR05V0oppZRSjqM150oppZRSSqk0pSPnSimllFLKcWJ15FwppZRSSimVlnTkXCmllFJKOY7R2VqUUkoppZRSaUlHzpVSSimllOP46mwt2jlPB3fUrcadff8PcbuInDCb0yMmeO3P9WATCrz1JNHHTgIQMW4aZybMjt/vuiMrxWd9x/m5Kzg2YHi6xp6cAg0rcc8H3RG3i0M/L2TP/6Yk2S6w1b2E/NCLJff35czGffHbsxbKR4Mlg9k5eCL7hk9Pr7C9NGpSl4Gf9MXldjNu9ASGfT7Ca3+mTP58891nVKxSnojTkTz1+CscPhRKkaKFWL56Jnt27wdg7eoNvN6rPwBvv9uLRzq1I1funAQHVUmXPO5v1oChQwfgdrn4cdSvfPrZ19fkkYmfRn1J1SoVOH06gk5dnuPgwSMAvPXmi/R4/FFiYmPp1etd5sxdTObMmVm04A8yZc6Mn5+bP/+czvsDhgCwaMGfZM+RHYA7C+Rj9ZoNtO/wZJrm17RpfYYMeQ+3282oUb8xePA3ifIbOfJzqlatwKlTEXTr9gIHDx4hb97c/Prrt1SrVomxYyfQq1e/+Od06NCat956EbfbzcyZC+jbd2Ca5nA9d9WvSMt+3XG5Xaz5fSFLhk/12n9vl8bU6NYUExvL5QuXmdTnB07sCSVr7ux0Hv4yhSqWZP3EJUzt/5M9CSTBVawcmep3BHERvXUZ0Wtme+33r/cw7sKlrQd+mZBsOfj321dxFS5NpnoPx7eTPAFcmfkDMfs2pmf4iSw7cJLPluwk1hjalS/EEyHFvfYPXrKT1UdOA3ApOpbTF6/w97MNAfhi6S7+PnASY6BG0by8Wa8MIpLuOQA0aVqPTz7th9vtYvTo8Xw+5Fuv/ZkyZeK77wdTpco9nD4dyePdX+LQoVCqVavIl/+z3iMiwqCPvmTa1DkAbN62hPPnLxATE0N0dAwN6rZN97zilKtfiY79eiBuF8t+n8+c4ZO99jd+siW1H21MTHQM50+fZeybwzkdepLSNcvT4d3H4tsFlAxi5EtfsnHO6vRO4Za8M3AoS5atIm+e3Ewa9+2Nn6Ac4z/ZOReRYKCWMeaXNP/HXC4K9n+ewz36EhV+kuA/vuD8/JVc2XvYq9m5GUuS7Xjnf6U7F1dtSfNQb5pLqDCoBys7DuTfsFPUnfUR4XPWcn5XqFcz9x1ZKP7kA0Ss3Z3oR5R/vxvHF2xIr4gTcblcfDKkPx3a9uBoaDhzF/3BrBnz2bVzb3ybLt0fJjLyDPdWbsqD7VvS//03eKrHKwAc2H+IhnUSfwjNnrWAkSPG8c/6OemWx7AvP+KBFp04ciSMlStmMHXaHLZvv/o7f6JHJyIizlC2XB06dmzDoIF96dzlOe6++y46dmxLxcqNCAoqyOyZv3F3+bpcvnyZJs06cuHCRfz8/Fiy6C9mzVrIP6vW0aDRQ/E/d/zvI5gyNW3zdLlcfPnlh7Rs2YUjR8JYtmwq06bNZceOq/k9/vgjREaeoXz5ejz8cGs+/LAP3bq9wKVLl3n//SGUK1eG8uVLx7fPmzc3gwa9Tc2aLTl58jQ//DCUhg1rs3DhsjTNJSniEloP6MGoroM4G36K56Z8yPa56zix5+p7aePk5az6eT4AZZtUpcW7XRn92CdEX45i3pCJFCxTmIKli6R77MkSIVODTlz+60vM+QiyPNqHmH2bMKfD4ptELZlAlOd7v0oNcBWw4o89sotLv3xk7cicjayPf0DMoW3pnIC3mFjDx4t2MPzBqhTMnoUuv/9D/eIFKJkve3yb1+uVif/+142H2HniHAAbwiLZEBbJ+M41AegxcTVrQyMIKZw3fZPAei8NGfo+bVt3JzQ0nEV/T2LG9Hns3LEnvk33xzoSGXmWyhUb0b5DK97/4C16PNaTbdt2Ub9OW2JiYigYUIDlK6czc8Z8YmJiAGjZvDOnT0Wke04JiUt4dMCTDOv6IRHhp+g9ZRCb5q4hPMF76fC2Awxq3ZuoS1eo17UpD/bpysgXv2DXiq0MbPEmANly3cGAxV+xbYm9J4Q3o12LpnRu34a3Pxhsdyi20RVCfUsw0Dk9/qEsFUtz5eBRog6HQ1Q0Z6cvIXuTmjf9/MzlS+GXPzcXl65LwyhvTZ4qpbiwP5yLh45jomI4OmkFAfeHJGpX9q2O7PlmKjGXo7y2BzwQwoVDxzm380h6hZxI1ZCK7N93kIMHDhMVFcVff0ynecsmXm2at2zMb7/+BcCUSbOo2+DGr9va1Rs5duxEmsSclHurV2Hv3gPs33+IqKgoxo+fTJvW93u1adO6GWPHWldr/vhjOo0a1vFsv5/x4ydz5coVDhw4zN69B7i3ujXaf+HCRQD8/f3w8/dPdOkwe/Y7aNigNpMnz0rT/KpXr+yV34QJU2nduplXm9atmzFu3EQA/vxzBg0b1gbg4sV/Wb58NZcvX/JqX7x4UXbv3s/Jk9ZI54IFS2nXrnma5pGcwpVLcfrgMSIOHycmKoZNU1dwd7NqXm0un/83/vtM2TKD57WI+vcyB9fsJOqa95fdXAWDMWeOY86ehNgYonetxl2iYrLt3aWrE71rTeLtd1Ul5sBWiLY3vy3HzlAkdzYK58qGv9vF/XcFsGhf8u/xWTvDeaB0AAACXImOJSo2liv+8Lk+AAAgAElEQVQxsUTHxpI3W6Z0itxbSEgl9u07yAHPMe+PidNo2aqpV5uWrZrw689/ADDpr5k0aFALgH//vRTfEc+SOTMZsZIguHIpThwM56TnvbRm6nIqNavu1WbXiq1EXboCwL71u8kTkPgkqWqL+9i6aH18u4wspHIFcuXMYXcYtjLGpOmXXXyqcy4i3UVkk4hsFJGxIvKTiAwTkeUisk9EOniafgzUFZENItIrLWPyL5iP6PCT8Y+jw0/iXzBfonY5mtUmeMrXBA17G7+A/HEJUbD3Uxz/ZGRahnjLsgTm4d+jp+IfXwo7RZbAPF5tct4TTNagvByfu95ruztbZkq+2Jpdg/9Il1iTExhYkKNHwuMfHz0aTmBQwURtQo9Yo30xMTGcPXuOvHmtPIsWK8yCvycxZcY47quZ+MQkvQQVCuDwkaPxj4+EhhEUFJBsm5iYGM6cOUu+fHkICkriuYWs57pcLtasnkNY6Cbmz1/CqtXer2O7ds1ZsHAZ586dT6vUrNiDAjiSIMbQ0DCCrnmdEraJe53y5fP+e0xo796DlC5dkmLFCuN2u2nduhmFCwelTQI3kLNgHs4keC+dDTtNroKJOww1ujXl1cWfc3/vzkx7b0x6hnjLJHsezLmro6jmfCSSPenXQ3LkxZUrP7GHdyTa51c6hOhd9pcVHD9/mYLZM8c/Lpg9MycuXE6y7dGz/3L07L9U94yMVwrMTUjhvDT9YQnNRi6hVtH8lMibPcnnprXAoACOHLl69eJoaBhBgdcc84IKxreJP+Z53kshIZX4Z/UsVqyaySs934nvrBtjmDRlNIuXTubxHo+mUzaJ5S6Yl4gE76WIsFPkTuK9FKd2x0ZsXZT46m1I69qsnpL+V9GUSshnylpEpDzQF6htjDkpInmBoUAgUAcoC0wBJgK9gdeNMa3SIbDE2645Gzu38B/OTluEiYom96MtCPzkNQ4/1ofcXVpyfvEar859hpBkTt77yw/oxoaXE5fplHmjA/tGzCTmYtIfbuklqZrPa8+Sk2yD4Vj4cSqXb0DE6UgqVS7PmF++oXaNFpw/dyHN4k3Obedhrv/c2NhYQqo3I1eunPwxYSTly5dh69ad8e0e7diWkaN+TWn4N3T7+SU/4hEZeYaePfsyduzXxMbGsnLlWooXL5ryYG/Dzcb+z9i5/DN2LhXb1KLBS+344zWH1Zcm83q4S4cQvXtd4v3ZcuLKV4jYg1vTIbjUM3tXOI1LFcTtsl7XQ5EX2R9xgdlP1AXg2UnrWBsaQbVCyZ88ppWkP4queS+R/OfVmjUbqVH9AUqXKcl3IwYzd84iLl++QrPGDxMefpz8BfIxeeoYdu3ay/Jl6X9SdSvHgXvb1aVYxRIMfeQ9r+05C+QmqExRR5S0KIsuQpTxNQImGmNOAhhjTnu2TzLGxBpjtgEFk312AiLyjIisEZE1488cSlFQUeEnr46EA34B+Yk6ftqrTWzkOUxUNACR42eR5Z5SAGStfDd5urai5IJRFOj9JDnbNabA64+nKJ7UcOnoabIGXR39zxKYj0vhV0fK/LJnIWeZItT6sx+NVw8jT9VS3Dv6dXJVKkHuKqUo925nGq8eRomnm3NXz3YEP9EsqX8mTR09Gk5Q4asjzEFBAYSHHU/UplDhQADcbjc5c+Yg4nQkV65EEXE6EoCNG7ZyYP8hSpXyvkEsvYQeCaNIglHfwoUCCQs7lmwbt9tNrlw5OX06gtDQJJ571Pu5Z86cZfGS5dzfrEH8trx581C9ehVmzJifBhl5Cw0N8xrVLlQokLBrXqeEbeJep9Oe1yc5M2bMo169tjRo8CC7d+9jz54DqR77zTgTfppcCd5LOQPzcvZ48rW7m6euoFxT+67U3AxzPgLJcbXzKdlzYy4k/Xr4lQ4hJonRcb/SIcTs3QCxsWkW5826M3tmjp2/Ophw7PxlCtyROcm2s3cd44EyV48rC/cep0JALrJl8iNbJj9qF8vH5vAzaR5zUo6GhlPYczwDCCoUSFh44mNe4WuOede+l3bt3MuFCxcpV86qsw/3/IyTJ04xbcocqoVUSss0khURfoo8Cd5LeQLzcSaJ91LZ2hV44MUHGf7Up0RfifbaV61VTTbMXkVsdEyax6vU9fhS51wgyTsDLl/T5oaMMSOMMSHGmJCOuVI2onZp8y4yBQfhX7gg+PuRs2U9zs9f6dXGXeDqB1n2xjXibxYNe/0z9jZ4nL2NenDi45GcnTSfE4N/SlE8qSFyw17uKBFA1qIFEH83Qe1qEj5nbfz+6HP/Mrv8M8yv3pP51XsSsW4Pqx4bzJmN+1je7v347fu+n8nuYZM48GP63DyZ0Pq1mylRIpiixQrj7+/Pg+1bMuuazuasGQt4tNODALRp9wB/L14BQL58eXC5rLdOseAilCgZzIED3jf4ppfVazZQqlRxgoOL4O/vT8eObZk6zfv3OXXaHLp1s2bAaN++JQsXLYvf3rFjWzJlykRwcBFKlSrOqtXryZ8/L7ly5QQgS5YsNG5Ul50JbpTt0L4V02fM4/LltL/6sWbNRq/8Hn64NdOmzfVqM23aXLp2tSrWHnqoBYsWLb/hzy1QwPoQz507F888041R6XAVICmhG/eSLziAPIUL4PZ3U7F1TXbMXevVJl/w1c5emUZVOHUg/Nofk6HEHjuI5L4TyZkPXG78SlcnZt+mRO0kd0HIcgexYfsS7XNnkJIWgPIFc3Io8iKhZ/4lKiaW2bvDaVCiQKJ2ByIucPZyFJUCcsVvC8iRhbWhEUTHxhIVE8u60EiK57kjPcOPt3btJkqUDKaY55jXvkMrZkyf59VmxvT5dOrSHoB2DzZnseeYF1cCBlCkSBB3lS7BwUNHyJYtK9mzW/lky5aVRo3rsH3brnTM6qqDG/dyZ3Ag+TzvpZDWtdg01/tehsLlg+k88GmGP/Up506dTfQzqrepzZqpWtLiJL5ac+4zZS3AfOAvEfncGHPKU9aSnHNA+txFERPLsQHDKTLyQ3C7ODNxDlf2HCJ/z65c2rKb8wv+IW/3tmRvVAMTE0NM5DnCeg9Nl9Bul4mJZcvbP3Hfr30Qt4vDvy7i/M4jlHmzA5Eb9nNsztob/xCbxcTE0PuNAUz4ayQut5tfxk5k54499O7bkw3rtjBr5gJ+HjOBb0Z8xqoNc4mMOMPTPazbE2rWrk7vvi8THR1DbEwMr7/Sj8gIazSs/4A3aP9wa7Jly8qm7UsYN2YCnw76Kk3zePmVd5gx/RfcLhc/jf6dbdt28V7/11mzdiPTps3lx1G/MfqnYezYtpSIiEg6d30egG3bdjFx4lQ2b1xIdEwMPV/uS2xsLIGBBflx5Be43S5cLhcTJ05l+oyrH+KPdGyTaLrGtMzvlVfeZerUsbjdbkaP/p3t23fRr9+rrF27menT5/LTT7/z449fsHXrEk6fjqR79xfjn79z5zJy5MhBpkz+tG59P61adWXHjt0MGfIeFSqUA2DgwC/Ys2d/uuRzrdiYWKb2+4nHx/RG3C7WjV/E8d2hNO7VgdDN+9gxbx33PdaMkrXvITY6mn/PXGDia1fLxV5f+iWZs2fF7e/H3c2qMarbx14zvdjCxHJl0e9kbtfTmkpx23LM6TD872tN7LGDxOy3Oup+ZaonOWouOfIhOfISeyTxLE928HO5eKtBGZ6fvI7YWEPb8kGUzJedb1buodydOWlQ4k7AuhH0/tIBXuUVTUoVZPWR03T82RqQqVUsH/WT6Ninh5iYGN547T3+mjwat9vF2DET2LF9N33feYV16zYzc8Z8xoz+nRE/DGXDpgVERJyhx2M9AahZK4Rerz5LVHQ0sbGxvPpKP06fiiA4uAg//2aVWPm53UwYP4V5c5fYkl9sTCy/9fuRl8b0xeV2sXz8QsJ2H6FVr44c2ryXTfPW0r5PVzJny8LT37wKQEToSYY//SkAeQsXIE9gfnavtHd2oFvxRv+PWb1+E5GRZ2ncrivPP9mN9tdMCKCcSXxpAncReQx4A4gB4u5gm2aMmejZf94Yk11E/IFZQH7gJ2PM58n9zB2lW/jOLwjYfTbXjRs5TI+LGf9k4FZFXkr/+vW05udy2x1CqnotoI7dIaS6vr1y2h1C6vPzpTEoS8CbM+wOIdV1KZCxy7Vu1bA1H9sdQprwz1/Cnkn6k5Ere8k07aOdOb/Xlnx96qhljBkNjL7O/uye/0cBjdMrLqWUUkoppW6GT3XOlVJKKaXUf4MvVX8k5Es3hCqllFJKKeVoOnKulFJKKaUcR+c5V0oppZRSSqUpHTlXSimllFKOY5Jc3sb5dORcKaWUUkqpDEJHzpVSSimllONozblSSimllFIqTenIuVJKKaWUchyd51wppZRSSimVpnTkXCmllFJKOY7O1qKUUkoppZRKUzpyrpRSSimlHMdXa861c66UUkoppRzHVzvnWtailFJKKaVUBqEj50oppZRSynF8c9xcR86VUkoppZTKMMRX63WcSESeMcaMsDuO1OJr+YDm5BS+lpOv5QOak1P4Wk6+lg/4Zk7/dTpynrE8Y3cAqczX8gHNySl8LSdfywc0J6fwtZx8LR/wzZz+07RzrpRSSimlVAahnXOllFJKKaUyCO2cZyy+VjPma/mA5uQUvpaTr+UDmpNT+FpOvpYP+GZO/2l6Q6hSSimllFIZhI6cK6WUUkoplUFo51wppZRSSqkMQjvnSimllFJKZRDaOVfqBkQkr90xpCZfywdARAaLSHm740hNIvLJzWxzEhEJEJE2ItJaRALsjic1iEhVEekpIi+JSFW741H/DSLy8s1sU86kN4TaTEQKAcUAv7htxpgl9kWUciJSCwjGO6cxtgWUQiKyG9gAjAJmGoe/aXwtHwAReQrogfU3Nwr41Rhzxt6oUkZE1hljql6zbZMxpqJdMaWE5zXqBywABKgPDDDG/GhrYCkgIv2Ah4E/PZvaAROMMR/aF1XKiUhuoDuJj+M97YrpdojIOSDZ45sxJmc6hpOqkjk+rDfGVLErJpV6tHNuI88o2CPANiDGs9kYY9rYF1XKiMhYoCRW5y9hTo46qCckIgI0AZ4A7gV+B34yxuyyNbDb5Gv5JCQiZbA66Z2AZcD3xpiF9kZ1a0TkOeB5oASwN8GuHMAyY0xXWwJLIRHZCdQyxpzyPM4HLDfGlLE3stsnItuBKsaYS57HWYF1xpi77Y0sZURkObAS2AzExm03xoy2LagUEJEBQDgwFuvEsAuQwxjzqa2B3QYR6QR0BuoAfyfYlQOIMcY0sSUwlaq0c24jz4dVRWPMZbtjSS2eD6tyvjAamxQRaQiMA+4ANgK9jTEr7I3q9vlSPiLiBlphdc6LAOOxPsAuGGMetTO2WyEiuYA8wCCgd4Jd54wxp+2JKuVEZD7Q3BhzxfM4EzDDyZ0JEZkJdDLGRHoe5wbGGWNa2RtZyiQ1KutkIvKPMabGjbY5gYgUA4qTxPEB2GSMibYlMJWq/G7cRKWhfYA/4DOdc2ALEACE2R1IavGM8HUFugHHgJeAKUBlYALWgdIxfC0fABEZCrQB5gMDjTGrPLs+8ZwEO4kxxhwQkReu3SEieR3cQQ8F/hGRyVilBm2BVSLyKoAxZqidwd2my8BWEZmLlVNTYKmIDAPnlYEkMFZEngamkeDzycF/ezEi0gX4Det16sTVK7uOYow5CBwEatodi0o72jm310Vgg2dEKeEB0HEHdBGZinXQywFsE5FVeOfk2FIdYAXW5dB2xpgjCbavEZFvbYopJXwtH7BOCt8xxlxMYt+96R1MCv2CdQVgLdZ7ShLsM1jlLk60F+8yncme/+ewIZbU8pfnK84im+JIbVeAz4C+XK3ZdvLfXmfgS8+XwSp562xrRCkkIg8BnwB3Yh0jBOvE3rF19OoqLWuxkYg8ltR2J9b1iUj96+03xixOr1hSm4iIL5Xp+Fo+cUQkD3AXkCVum9NvrlbKDiKyF6hhjDlpdywqaSKyB2htjNludywq9enIuY2MMaM9dZelPZt2GmOi7IzpdsV1vkXkE2PMWwn3eW58dWznHMgvIm8C5fHu+DWyL6QU8bV84mYCeRkojHUz8n1YVwicnFNtYIMx5oKIdAWqAl8YYw7ZHNptEZEQrJHYa2encuTsMwAi0gr4gKs5+cro5VasK7s+QURKA8OBgsaYe0SkItDG4bPqHNOOue/Sec5tJCINgN3A18A3wC4RqWdrUCnXNIltzdM9itT1M7ADqxb7feAAsNrOgFLI1/IBq2NeHThojGkIVAFO2BtSig0HLopIJeBNrDrTsfaGlCI/Y01z2R5oneDLyb4AHgPyGWNyGmNy+EDHHKx67A0i8p2IDIv7sjuoFPge6ANEARhjNgGOuUk8GWtE5HcR6SQiD8V92R2USh06cm6vIUAzY8xOiD+7/xWoZmtUtyHh9G8isinBrhzAcnuiSjX5jDEjReRlzxWCxSLi5CsBvpYPwCVjzCURQUQyG2N2eKZVdLJoY4wRkbbAl57XLMlSOIc4YYyZYncQqewwsMUHy8Qmeb58RTZjzCprFtl4Tp/VJCfW1Y1mCbYZrs65rxxMO+f28o/rmAMYY3aJiL+dAaXAL8BMfGz6N4+4UqMwEWkJHMUqn3AqX8sH4IhnGrtJwFwRicDKy8nOiUgfrJl16nmminTq8QGgv4j8gDWjTsKbxZ3cmXgTmOE5uU2YkxNnnonnxPuebuCkiJTEc3OriHTA+TOKuYCXE0zjmQdrwE/5AL0h1EYi8iPWwSLuUnVXwG2M6WFfVCnn6UQUxLuu1JF1shBfV/o31tzZX2GNWLzv1FFAX8vnWp6bk3MBs+Lm1HYisZa37wysNsb8LSJFgQZOXW1XRMYBZbHqmeMWtjHGmCfsiyplRGQOcJ7Ei/W8b1tQqUBE9pPEyprGGEfO1iIiJYARQC0gAtgPdDXGHLAzrpRIajVQXSHUd2jn3EYikhl4AWuhFAGWAN84eVEiEXkReA9r/uyEH8COvelLZVwikvd6+5161cZzgjvbyQv0XEtENhtjKtgdR2oSkTXGmBC740htnrUQ4mQBHgbyGmP62RRSqhCROwCXMeac3bGklIhsxDpZj/A8zgss9rX32H+Vds4zCM8bq7DnRhXH8kzvVCNuiW4nE5GvSGL0KI7T5qP3tXzAa4RPgKJYo2IC5AYOGWMct6BSHBGZAnQzxpyxO5bUICLfA58bY7bZHUtqEZGPgQXGmDl2x5LWRGSpMaaO3XHcDhEpCAwEgowxzUWkHFDTGDPS5tBum4h0x7rJdSLWMbAj8JExxsk3jSsPrTm3kYgswlrV0A9r+rcTIrLYGPOqrYGlzGHAJzoTwBrP/2sD5YDfPY8fxlogxml8LR/iOt+exZOmGGNmeB43B5w+6nwJ2OxZffJC3EYnnkR51AEe85xQXebqtINOvqr2AvCmiFzBWrjHJ6ZSFJGqCR66gBCcvVjUT1gzBfX1PN6FdfxzbOfcGDNGRNZgTRcrwEO+dOL7X6cj5zaKqw/zzNFcxBjTX0Q2OfnDSkRGAmWA6fjIDVIishBrVp0oz2N/YI5nyj7H8bV8AERkrTGm2jXbHF1y4EuLlAGISLGktnuWI1cZiOcYEdc5iMaabnWwMWaXbUGlgIisNsZUT1iTLSIbjDGV7Y5NqaToyLm9/EQkEOtyVN8bNXaIQ54vf5w9s0RCQVijRnH1y9k925zK1/IBazaGd4BxWJ2KroCjS6s8i5RlBYomnNXJqYwxB0WkDnCXMWaUiBTA+ttzLLHm5usCFDfGfCAiRYBAY8wqm0NLqeZY89EHc7Wf8CgwwK6AUuiCp44+braW+/CdK7zKB2nn3F4DgNnAUmPMas8d5bttjimlZgBv431QNzj3oA7wMbDeM5oEUB/rplenSiofR88uAXQC+gN/eR4v8WxzLBFpDQwGMgHFRaQyMMAY08beyG6PiPTHKo8og1Vi4I91MlXbzrhS6BusG98bYa0Ueh5rUbnqdgaVCiYBkcA6rPIqp3sVmAKUFJFlQAGgg70hKZU8LWtRqUpEdgKvA1vwnlrM0ZeuPdPa1fA8/McYE25nPCnla/n4IhFZi9XpW5TgUrxjZzwRkQ1YK7euS5CP08v41hljql5TLrHRGFPJ7thSQkS2GGPusTuO1CQiflgnhgLsjCvrUyoj0pFzG4lIFuBJoDzWdFUAOHneX6xVAKfaHURqEJGynpUm426OOuz5f5CIBBlj1tkVW0qIyADPlGiTPY9dIvKzMaaLzaHdNhGZSuKZaM5g3QT7nTHGiaN/0caYM9esaujk0ZQrnhVP40oL7rA7oFQQ5Zn2Mi6nAiQYlHCw5SJSwRiz2e5AUoPns/Z5rJuSDfC3iHzr0OOC+g/Qzrm9xgI7gPuxyj66ANttjSjlfGkVwNeAp0l61TWDNarpREVFpI8xZpBnrv0JWJevnWwf1qXqXz2PH8Gaa7808D3Qzaa4UmKLiHQG3CJyF9ATWG5zTCkxXkS+A3KLyNPAE1ivjZMNwyqlulNEPsIqlXjX3pBun4hsxjq2+QE9RGQfvjGzzhjgHNaia2CVvI3FmqlKqQxHy1pslGC2lk3GmIqeWTNmG2Oc2unzyVUAfY3nJrafsVY1bAjMNMZ8bm9UKSMiS4wx9ZLaJiJbjTHl7YrtdolINqwbxZthdY5mAx84dbRPRD4B5uGdTxNjzFu2BpZCIlIWaIyV03xjjGMHWJKbUSeOU8sTkyo18oXyI+W7dOTcXnE1b5Eicg8QjnUjpZNVcmpN7LVE5KHr7Xfa1YBr5i7+EvgOWAYsFpGqTi3T8SggIkWNMYcAxFrqPr9n3xX7wrp9xpiLWJ1zX5nJqamnIz43boOIDAEc2zkXkbHGmG5YV0Cv3eY4Tu1834T1InKfMWYlgIjUwDr2KZUhaefcXiNEJA/WZdApWNOKOXp5ZGCliJTzkcUQWl9nnwEc1TkncXlOBNZiRENwdpkOWCVIS0VkL9YIZnHgeU9ds1PnBS+NdXN1MAmO1U67siYiz2HV+5YQkYQrIOfA+R0krysynpsOqyXTVtmnBtBdRA55HhcFtseV8Ti4XEf5KC1rUalKRLYDJQFfWgVQOYCnfr4s1t/cDqeWf8QRkY3At1irt8bEbTfGOGo1VxHJBeQBBgG9E+w6Z4w5nfSzMjYR6YM1ZWxW4GKCXVHACGNMH1sCU0ny1XId5bu0c24jESkIDASCjDHNRaQcUNMY49glhX1xFUBP56I/EFfTvBhrvmlHLmLhi393ACJSi8SjzGNsCyiFklr1VGUsIjII+BTrxuO4GbeMMWaJfVGpa4lISeCIMeayiDQAKgJjjDGR9kamVNK0c24jEZmJtRhHX2NMJc8l0fW+UrPtK0TkD6x52+PKI7ph1dZftyY9o/LFvzsRGYt1xWYDV0eZjTGmp31R3R4Ryev5tidwHGs2kIQzHzlytNkXeWad6QkUxvrbuw9Y4bTSI1/nmWM/BOvkfTZWGWkZY0wLO+NSKjlac26v/MaY8Z5LpBhjokUk5kZPUumupDGmfYLH73sO9k7li393IUA54xujDWux7gGIm+D8jQT7DFAi3SNSyemJtRroSmNMQ8/MLU5fbdcXxXqOcw8BXxhjvhKR9XYHpVRytHNurwsiko+rC1jch7VwispY/hWROsaYpQAiUhv41+aYUsIX/+62AAFAmN2BpJQxpjhYC6dcWzfvWUxFZRyXjDGXRAQRyexZtKyM3UGpRKJEpBPQnas3+vvbGI9S16Wdc3u9inV5raSILMNaRKWDvSGpJDwHjPbUnoM1y8ljNsaTUr74d5cf2CYiq/AuAWljX0gpthyoehPblH2OiEhuYBIwV0QigKM2x6QS6wE8C3xkjNkvIsWBcTbHpFSytObcRiLyMFb9WxGgPdZ0T+86fL5pn+OZBaQDVk1zbqxRZmOMGWBrYCngqTMvg1U6sdMYE3WDp2RoIlI/qe3GmMXpHUtKiUgAUAir89CZq+UtOYFvjTFl7YpNJc/zN5gLmGWMceTc+kqpjEFHzu31rjFmgmeu8yZY800Px+qkq4xjMhCJtcR9qM2xpJhn5clXgWLGmKdF5C4RKWOMmWZ3bLfLiZ3w67gfeBzrJsOhCbafw5q+T2VAPvY36BPi5jFPbr9O8asyKh05t5GIrDfGVPFMx7XZGPNL3Da7Y1NXicgWY8w9dseRWkTkd6ybDrsbY+4RkaxYM0xUtjm0WyYiS40xdUTkHN4fwnHz6+e0KbQUE5H2xpg/7I5DKadKMLXvC57/j/X8vwtw0clXP5Vv0865jURkGtZIbBOsVeX+BVYZYyrZGpjyIiIjgK+MMZvtjiU1iMgaY0xIwhNBEdmof3cZj4i0xFqFMv5GUO1QKHVrRGSZMab2jbYplVG47A7gP64jVs35A57FEPLiPW2aspGIbPYsN14HWCciO0VkU4LtTnXFM1oeN1tLSRLcROlEIvJkEts+tiOW1CIi3wKPAC9hXQl4GLjuSodKqSTdISJ14h54Fiy7w8Z4lLouHTlXKhm+uuSziDQF3gHKAXOA2sDjxphFdsaVEp6FlcYZY372PP4GyGKMecLeyG6fiGwyxlRM8P/swJ/GmGZ2x6aUk4hINeBHrBt2wbqH6AmdfEFlVNo5V+o/xrOa5masMqp9wD/GmJP2RpUynisBU7A+gJsDp40xr9gbVcqIyD/GmBoishJ4CDgFbDHG3GVzaEo5kojkxOr3OH1dB+XjdLYWpf57RmGV6jTFWm1yg4gsMcZ8aW9Yty7BUvcAT2HNN70MGCAieR2+1P00zxzan2HNFGSAH+wNSSnn8UyH2x4IBvxErNlJ9f4NlVHpyLlS/0Ei4sZadrwh1uIc/zpx/mwR2U/iWVriGGOMTyx17+lcZNERP6VunYjMwlqfYi0QE7fdGDPEtqCUug7tnCv1HyMi87FuhloB/A0sNcYctzeq2yciLqCmMWaZ3TE6fwQAAALCSURBVLGkJs989K8BRePmowccPR+9Unbwtelwle/T2VqU+u/ZBFwB7gEqAnFznTuSMSYWGGx3HGlgFNYsOjU9j48AH9oXjlKOtVxEKtgdhFI3S0fOlfqP8sz+0QN4HQgwxmS2OaTbJiLvY510/Gl85KCm89ErlTpEZBtQCtiPdcIbt0iZrhCqMiS9IVSp/xgReRGoi7Xw1UGsGU7+tjWolHsVq1QnRkT+xQdWCMUH56NXyibN7Q5AqVuhnXOl/nuyAkOBtcaYaLuDSQ3GmBx2x5AG+gOzgCIi8jOe+ehtjUgpBxGRnMaYs8A5u2NR6lZoWYtSyieISBugnufhIqffOOmL89ErlZ5EZJoxplWCWZ18cjYn5Xu0c66UcjwR+RhrasifPZs6YV0Z6G1fVCkjIo2w5qOvi2c+esCR89ErZSfPie4S4G9jzA6741HqRrRzrpRyPBHZBFT2zNwSN4/7eqff8OUr89ErZackTnTXY3XU9URXZUjaOVdKOZ6nc94gbkVQz8qhi5zcOfe1+eiVspOe6Con0RtClVK+YCCwTkQWYdWV1gP62BpRym3CmlHnHqzVDSNFZIUx5l97w1LKWZI40a2uJ7oqI9ORc6WU43lqSncDEcAhrJsnw+2NKnX40nz0StlBRD7HOtG9DCzDqj/XE12VYWnnXCnleL5482QS89HH3dC2wNbAlHIoPdFVTqGdc6WUT/C1mlIReQOrQ+4z89ErZQc90VVOo51zpZTj6c2TSqnk6Imuchq9IVQp5Qv05kmlVJKMMZ/ZHYNSt0JHzpVSPkNrSpVSSjmdjpwrpRwviZrSH7HKW5RSSilH0c65UsoXZAWGojWlSimlHE7LWpRSSimllMogXHYHoJRSSimllLJo51wppZRSSqkMQjvnSimllFJKZRDaOVdKKaWUUiqD0M65UkoppZRSGcT/A3AKaOKAQtDtAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#get the names of all the columns\n",
    "cols=trainData.columns \n",
    "# Calculates pearson co-efficient for all combinations，通常认为相关系数大于0.5的为强相关\n",
    "data_corr = trainData.corr().abs()#corr()判断相关系数， -1=<x<=1  abs()取绝对值\n",
    "plt.subplots(figsize=(13, 9))\n",
    "sns.heatmap(data_corr,annot=True)#1.热度图  heatmap（两两特征相关性） \n",
    "##annot：是否显示值    mask：指定数据不展示  cbar：是否展示灰度带\n",
    "# Mask unimportant features\n",
    "sns.heatmap(data_corr, mask=data_corr < 1, cbar=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "temp and atemp = 1.00\n",
      "season and mnth = 0.83\n",
      "atemp and cnt = 0.78\n",
      "temp and cnt = 0.77\n",
      "weathersit and hum = 0.64\n",
      "season and cnt = 0.54\n"
     ]
    }
   ],
   "source": [
    "#通常认为相关系数大于0.5是强相关，因此通过“threshold = 0.5”这个0,5的阈值将强相关对找出来然后打印出来\n",
    "#Set the threshold to select only highly correlated attributes\n",
    "threshold = 0.5 #设定阈值，超过阈值的展示出来\n",
    "# List of pairs along with correlation above threshold\n",
    "corr_list = []#超过阈值的 存放进来\n",
    "size = data_corr.shape[0]#矩阵 的行列都相等\n",
    "#Search for the highly correlated pairs\n",
    "for i in range(0, size): #for 'size' features\n",
    "    for j in range(i+1,size): #avoid repetition #i+1表示 本身不计算\n",
    "        # （下面）如果求 corr()时，加上abs()绝对值的话，就不用管or之后的\n",
    "        if (data_corr.iloc[i,j] >= threshold and data_corr.iloc[i,j] < 1) or (data_corr.iloc[i,j] < 0 and data_corr.iloc[i,j] <= -threshold):\n",
    "            corr_list.append([data_corr.iloc[i,j],i,j]) #store correlation and columns index #保留i和j的目的：后面会显示 谁与谁的相关关系是多少\n",
    "#Sort to show higher ones first  从高到低排（#倒序），因为默认的是从低到高排          \n",
    "s_corr_list = sorted(corr_list,key=lambda x: -abs(x[0]))\n",
    "#Print correlations and column names\n",
    "for v,i,j in s_corr_list:\n",
    "    print (\"%s and %s = %.2f\" % (cols[i],cols[j],v))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通常认为>0.5的两两关联属于强关联，由下图可知道 atemp 与 temp 相关性非常大 0.99 远大于0.5,属于强关联，两个特征与预测值关联系数相同为0.63。删除 atemp。season 与 mnth 也强关联为0.83。season 与 cnt 关联系数较大，所以删除 mnth。 weathersit 与 hum 虽然属于强关联，但是关联系数只有0.59 且一个是数值型特征，一个是分类型特征，保留。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 删除不需要的特征值\n",
    "trainData = trainData.drop(columns=['atemp','mnth'])\n",
    "testData = testData.drop(columns=['atemp','mnth'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.数据预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "# 分开特征值和预测值（根据作业说明文档，casual、registered、cnt都是输出y，但作业只需对cnt进行预测）\n",
    "#年份是在开始分好的，trainData是11年，testData是12年\n",
    "trainData_y = trainData.cnt.values\n",
    "trainData_x = trainData.drop(columns=['cnt'])\n",
    "testData_y = testData.cnt.values\n",
    "testData_x = testData.drop(columns=['cnt'])\n",
    "columns = trainData_x.columns\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "Continuity_fields = ['temp', 'hum', 'windspeed']\n",
    "\n",
    "#数值型特征归一化以及分类型特征编码同时处理\n",
    "#preprocessing.scale()函数，可以直接将给定数据进行标准化。\n",
    "#独热编码（One-Hot Encoding）：离散值处理\n",
    "n_train_x= preprocessing.Normalizer()\n",
    "n_train_y= preprocessing.Normalizer()\n",
    "n_test_x= preprocessing.Normalizer()\n",
    "n_test_y= preprocessing.Normalizer()\n",
    "enc_train = preprocessing.OneHotEncoder()\n",
    "enc_test = preprocessing.OneHotEncoder() \n",
    "\n",
    "#分离连续值与离散值\n",
    "#loc[],中括号里面是先行后列，以逗号分割，行和列分别是行标签和列标签。.loc是用行列标签来进行选择数据的\n",
    "#连续值\n",
    "continuousTrainData_x = trainData_x.loc[:, Continuity_fields] #[:, Continuity_fields]取所有行的Continuity_fields的值。“[:, ” 所有行\n",
    "continuousTestData_x = testData_x.loc[:, Continuity_fields]\n",
    "#离散型（类别属性）数值就是把所有特征值里的连续值去掉\n",
    "distributiveTrainData_x = trainData_x.drop(columns = Continuity_fields)\n",
    "distributiveTestData_x = testData_x.drop(columns = Continuity_fields)\n",
    "\n",
    "#归一化连续特征值处理\n",
    "normalConTrainData_x = n_train_x.fit_transform(continuousTrainData_x)\n",
    "normalConTestData_x = n_test_x.fit_transform(continuousTestData_x)\n",
    "\n",
    "#热编码离散特征值处理\n",
    "normalDesTrainData_x = enc_train.fit_transform(distributiveTrainData_x).toarray()\n",
    "normalDesTestData_x = enc_test.fit_transform(distributiveTestData_x).toarray()\n",
    "\n",
    "#组合特征值（np.concatenate：基于numpy库concatenate的数组操作函数。array：数组，这里将数组拼接起来）\n",
    "xTrain = np.concatenate((normalDesTrainData_x,np.array(normalConTrainData_x)),axis=1)\n",
    "xTest = np.concatenate((normalDesTestData_x,np.array(normalConTestData_x)),axis=1)\n",
    "\n",
    "#归一化预测值（预测值只有一个，是连续型的属性，所以只做归一化）\n",
    "yTrain =n_train_y.fit_transform(trainData_y.reshape(1, -1)).reshape(-1,1)\n",
    "yTest = n_test_y.fit_transform(testData_y.reshape(1, -1)).reshape(-1,1)\n",
    "#reshape(1, -1)) ：新数组的shape属性应该要与原来数组的一致，即新数组元素数量与原数组元素数量要相等。（无论行列怎么变化）\n",
    "#一个参数为-1时，那么reshape函数会根据另一个参数的维度计算出数组的另外一个shape属性值。\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6.模型训练及评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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